SPATIALLY VARIABLE LIGHT SOURCE AND SPATIALLY VARIABLE DETECTOR SYSTEMS AND METHODS

INCORPORATION BY REFERENCE

All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.

BACKGROUND OF THE INVENTION

Spectrometers are used for many purposes. For example, spectrometers are used in the detection of defects in industrial processes, satellite imaging, and laboratory research. However, these instruments have typically been too large and too costly for the consumer market.

Spectrometers detect radiation from a sample and process the resulting signal to obtain and present information about the sample that includes spectral, physical and chemical information about the sample. These instruments generally include some type of spectrally selective element to separate wavelengths of radiation received from the sample, and a first-stage optic, such as a lens, to focus or concentrate the radiation onto an imaging array.

Prior spectrometers and filters, such as linear variable filters, can be used as wavelength separating elements for compact spectrometers. A linear variable filter can be generally configured to have a plurality of transmission profiles that vary across a length of the filter. Collimated light incident on the linearly variable filter may be spectrally separated by the filter, based on the location at which the incident light hits the filter. A detector optically coupled to the filter can detect the intensity of incident light at different wavelengths. Such prior spectrometers and spatially variable filters can be subjected to incident light having a non-uniform intensity distribution across the area of the filter. Such spatial variation of the incident light intensity can produce distortions in the spectral representation of the measured sample.

A spectrometer comprising a multiple detector (for example, photodiode) architecture may feature a single light source (for example, incandescent bulb) and multiple detectors, where each of the detectors can be covered with a filter that permits passing therethrough a certain narrow band of the illuminated spectrum. This architecture can be a low-cost way to analyze spectral reflections of materials, but can suffer from various systematic noise sources that can be difficult to compensate. For example, one such noise source can be due to the disparity in the distance, position, and/or orientation between the light source and each of the detectors. A gain noise can be included in the measured spectrum where the collected signal varies across the different detectors of the spectrometer, such as due to the detectors being at different distances from the sample. For example, when the sample is far away from the detectors there can be a relatively uniform illumination of all detectors, while if the sample is very close, the detectors closer to the light source can have larger illumination levels than the ones further away from the light source.

The prior spatially variable filters for separation of incident light can be less than ideally suited for use with compact spectrometers. For example, prior linear variable filters can introduce distortions into the output spectrum of the incident light. Such distortions may be attributable to, for example, changes in the position and/or orientation of the spectrometer's input window with respect to the sample plane. Therefore, prior spatially variable filters may be less than ideally suited for use with compact spectrometers, which ideally can measure samples at various positions and orientations with respect to the spectrometer's input window.

In light of the above, improved spatially variable filters and compact spectrometers would be beneficial. Ideally, such improved spatially variable filters and compact spectrometers would reduce distortions of the output spectrum due to variations in incident light intensity across the area of the filter.

SUMMARY OF THE INVENTION

An improved compact spectrometer system comprising an improved spatially variable filter is disclosed herein. The spectrometer comprises a spatially variable filter in order to adjust output spectral data in response to spatial variations of light energy incident on the filter. The spatially variable filter may comprise a plurality of spaced apart filter regions having similar transmission profiles in order to measure spatial variation of the input light energy incident on the spatially variable filter. The measured spatial variation of the input light energy can be used to adjust output spectral data in order to reduce distortion of the output spectral data related to the spatial variation in intensity of the light energy incident on the spatially variable filter.

The spatially variable filter may be configured with a plurality of different transmission profiles at different locations of the filter, to spectrally separate light incident on the filter. The spatially variable filter may comprise one or more linear variable filters, discrete filters, or combinations thereof. The spatially variable filter may comprise a plurality of different filters having different transmission profiles. Each of the different filters may comprise a plurality of similar filters at a plurality of locations of the spatially variable filter, the similar filters having similar transmission profiles.

The spatially variable filter may be optically coupled to a detector comprising a plurality of detector elements such as pixels, each pixel configured to measure an intensity of incident light that has been spectrally separated by the spatially variable filter. The spatially variable filter and the detector can be configured to generate measurement data indicative of the spatial distribution of the incident light. The spatial distribution of the incident light can then be used to adjust the measurement data of the spectrally separated incident light. A processor may be operatively coupled to the detector, wherein the processor comprises instructions to adjust the measurement data in response to intensity variations in the incident light. The spatially variable filter system can generate adjusted spectra with reduced distortions resulting from non-uniform light distribution on the filter.

In one aspect, a spectrometer comprises a spatially variable filter, a detector, and a processor, wherein the spatially variable filter comprises a first plurality of similar spaced apart filter regions having similar transmission profiles and a second plurality of different spaced apart regions having different transmission profiles. The detector comprises a plurality of detector elements coupled to the spatially variable filter. The processor is configured with instructions to receive data from the detector and output spectral data to determine a spectrum in response to intensities of the plurality of different spaced apart filter regions adjusted in response to transmitted light intensity at the plurality of similar spaced apart filter regions.

In another aspect, a spatially variable filter comprises a plurality of different filter regions comprising different transmission profiles at a plurality of locations of the spatially variable filter to spectrally separate light incident on the filter. At least one of the different transmission profiles is repeated at a plurality of spaced apart regions of the spatially variable filter.

In another aspect, a spectrometer system comprises a spatially variable filter having a plurality of different transmission profiles, wherein at least one of the plurality of different transmission profiles is repeated at two or more spaced apart regions of the spatially variable filter. The spectrometer system further comprises a detector optically coupled to the spatially variable filter, and a processor coupled to the detector. The processor is configured to measure transmitted light intensity at the plurality of non-adjacent locations of the spatially variable filter in order to adjust output spectra in response to intensity variations among the plurality of similar filters at the plurality of non-adjacent locations.

In another aspect, a method of measuring spectra comprises measuring an intensity of light incident on each of a plurality of detector elements of a detector, wherein the plurality of detector elements are coupled to a plurality of different spaced apart regions and a plurality of similar spaced apart filter regions of a spatially variable filter. The method further comprises determining a spatial variation in incident light intensity across the area of the spatially variable filter, in response to measurement data generated by the detector. The method further comprises adjusting the measurement data generated by the detector to reduce the spatial variation in incident light intensity. The method further comprises generating an adjusted spectra of the incident light in response to the adjusted measurement data.

In another aspect, a spectrometer can comprise a spatially variable detector configured to measure a light intensity of an incident light, the spatially variable detector comprising a first plurality of similar spaced apart detector regions having similar detectable wavelength ranges and a second plurality of different spaced apart detector regions having different detectable wavelength ranges; and a processor configured with instructions to receive measurement data from the spatially variable detector and output spectral data to determine a spectrum in response to measured light intensity of the plurality of different spaced apart detector regions adjusted in response to measured light intensity at the plurality of similar spaced apart detector regions.

In some embodiments, the processor can be configured with instructions to adjust the output spectral data in response to variations in light intensities which are measured at the plurality of similar spaced apart detector regions. For instances, the processor can be configured with instructions to determine a pattern and/or gradient of the variation in light intensities across a length of the spatially variable detector.

In some embodiments, the spectrometer can further comprise a filter which is optically coupled to the spatially variable detector. The plurality of similar spaced apart detector regions can comprise at least two similar detector regions spaced apart by a distance at least half of a maximum distance across the detector. The first plurality of similar spaced apart detector regions can comprise non-adjacent spaced apart regions of the spatially variable detector. In some instances, the first plurality of similar spaced apart detector regions can be provided at corners of the spatially variable detector.

In some embodiments, the different detectable wavelength ranges can overlap with the similar detectable wavelength ranges. Alternatively, the different detectable wavelength ranges do not overlap with the similar detectable wavelength ranges. The different detectable wavelength ranges and the similar detectable wavelength ranges together can cover an entire spectral range of interest. In some embodiments, the spectrometer can further comprise a single broadband light source.

In some embodiments, the second plurality of different spaced apart detector regions can comprise at least N detector regions having N different detectable wavelength ranges, and the first plurality of similar spaced apart detector regions can comprise M spaced apart similar regions of the spatially variable detector. In some instances, N and M can each be integers, N being greater than 3, and M being greater than 2. N can be greater than M.

In some embodiments, each of the first plurality of similar spaced apart detector regions and the second plurality of different spaced apart detector regions can be configured to detect a range of wavelengths distributed about a central wavelength. Each of the first plurality of similar spaced apart detector regions and the second plurality of different spaced apart detector regions can be configured to record an intensity of light which impinges on it. The spectrometer can further comprises a filter array, the filter array comprising filters each of which being optically coupled to the first plurality of similar spaced apart detector regions and the second plurality of different spaced apart detector regions respectively.

In another aspect, a method of reducing measured intensity variations in a spectrometer can comprise providing a spectrometer of an aspect of the disclosure; measuring an intensity of light incident on the spatially variable detector; comparing the measured intensities of light incident on the first plurality of similar detector regions; determining a spatial variation of measured light intensity along the spatially variable detector in response to the comparison of the measured intensity of light incident on the first plurality of similar detector regions; adjusting the measured intensity of light incident on the spatially variable detector based on the determined spatial variation of measured light intensity; and generating adjusted spectra in response to the adjusted measured intensity of light.

In some embodiments, measuring an intensity of light incident on the spatially variable detector can comprise measuring intensities of light having substantially identical detectable wavelength ranges at the first plurality of similar detector regions and measuring intensities of light having different detectable wavelength ranges at the second plurality of different detector regions.

In some embodiments, determining a spatial variation of measured light intensity along the spatially variable detector can comprise determining a pattern and/or gradient of the variation of light intensity across a length of the spatially variable detector.

In another aspect, a spectrometer can comprise a spatially variable light source configured to emit an incident light, the spatially variable light source comprising a first plurality of similar spaced apart lighting regions emitting light of similar detectable wavelength ranges and a second plurality of different spaced apart lighting regions emitting light of different detectable wavelength ranges; a broadband light detector configured to measure a light intensity of the incident light; and a processor configured with instructions to (1) receive measured light intensity from the broadband light detector, and (2) output spectral data to determine a spectrum in response to measured light intensity at the broadband light detector. The broadband light detector can be one single light detector.

In some embodiments, the processor can be configured with instructions to adjust the output spectral data in response to variations in light intensities which are measured at the detector. For instance, the processor can be configured with instructions to determine a pattern and/or gradient of the variation in light intensities.

In some embodiments, the spectrometer can further comprise a filter which is optically coupled to the detector. The plurality of similar spaced apart lighting regions can comprise at least two similar lighting regions spaced apart by a distance at least half of a maximum distance across the spatially variable light source. The first plurality of similar spaced apart lighting regions can comprise non-adjacent spaced apart regions of the spatially variable light source. In some instance, the first plurality of similar spaced apart lighting regions can be provided at corners of the spatially variable light source.

In some embodiments, the second plurality of different spaced apart lighting regions can comprise at least N lighting regions emitting light of N different detectable wavelength ranges, and the first plurality of similar spaced apart lighting regions can comprise M spaced apart similar lighting regions of the spatially variable light source. In some instances, N and M are each integers, N being greater than 3, and M being greater than 2. N can be greater than M,

In another aspect, a method of reducing measured intensity variations in a spectrometer can comprise providing a spectrometer of an aspect of the disclosure; measuring an intensity of light emitted from the spatially variable light source; comparing the measured intensities of light emitted from the first plurality of similar lighting regions; determining a spatial variation of measured intensities of light which are emitted along the spatially variable light source in response to the comparison of the measured intensity of light incident emitted from the first plurality of similar lighting regions; adjusting the measured intensity of light emitted from the spatially variable light source based on the determined spatial variation of measured light intensity; and generating adjusted spectra in response to the adjusted measured intensity of light.

In some embodiments, measuring an intensity of light emitted from the spatially variable light source can comprise measuring intensities of light emitted from the first plurality of similar lighting regions and measuring intensities of light emitted from the second plurality of different lighting regions. In some embodiments, determining a spatial variation of measured intensity of light which are emitted along the spatially variable light source can comprise determining a pattern and/or gradient of the variation of light intensity across a length of the spatially variable light source.

In some embodiments, the processor can be selected from the group consisting of a local processor and a remote processor. The processor can comprise a plurality of processors. In some embodiments, the processor can be supported together with the detector by a hand of a user

BRIEF DESCRIPTION OF THE DRAWINGS

The novel features of the invention are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:

FIG. 1 shows an isometric view of an exemplary compact spectrometer;

FIG. 2 shows a schematic diagram of an exemplary optical layout for a compact spectrometer;

FIG. 3 illustrates an exemplary light intensity distribution on a linear variable filter;

FIG. 4 illustrates an exemplary configuration of a linear variable filter suitable for incorporation with a compact spectrometer;

FIGS. 5A-5B illustrate another exemplary configuration of a linear variable filter suitable for incorporation with a compact spectrometer;

FIG. 6A illustrates an exemplary configuration of a spatially variable filter suitable for incorporation with a compact spectrometer;

FIG. 6B illustrates exemplary transmission profiles of the plurality of different filters of FIG. 6A.

FIGS. 7A-7C illustrate exemplary configurations of a spatially variable filter suitable for incorporation with a compact spectrometer;

FIG. 8 is a flow chart illustrating a method of reducing measured intensity variations across an area of a linear variable filter as shown in FIG. 4;

FIG. 9 is a flow chart illustrating a method of reducing measured intensity variations across an area of a linear variable filter as shown in FIGS. 5A and 5B;

FIG. 10 is a flow chart illustrating a method of reducing measured intensity variations across an area of a linear variable filter as shown in FIG. 6A;

FIG. 11 illustrates an exemplary configuration of a spatially variable detector suitable for incorporation with a compact spectrometer;

FIG. 12 is a flow chart illustrating a method of reducing measured intensity variations across an area of a spatially variable detector as shown in FIG. 11;

FIG. 13 illustrates an exemplary configuration of a spatially variable light source suitable for incorporation with a compact spectrometer; and

FIG. 14 is a flow chart illustrating a method of reducing measured intensity variations in incident light emitted from a spatially variable light source as shown in FIG. 13.

DETAILED DESCRIPTION OF THE INVENTION

In the following description, various aspects of the invention will be described. For the purposes of explanation, specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent to one skilled in the art that there are other embodiments of the invention that differ in details without affecting the essential nature thereof. Therefore the invention is not limited by that which is illustrated in the figure and described in the specification, but only as indicated in the accompanying claims, with the proper scope determined only by the broadest interpretation of the claims.

A better understanding of the features and advantages of the present disclosure will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of embodiments of the present disclosure are utilized, and the accompanying drawings.

As used herein the term arcuate encompasses one or more of curved, elliptical, annular or conical shapes, and portions of these shapes and linear approximations thereof.

As used herein, like characters refer to like elements.

As used herein, “A and/or B” refers to any of A alone, B alone, or a combination of both A and B.

As used herein, the term “light” encompasses electromagnetic radiation having wavelengths in one or more of the ultraviolet, visible, or infrared portions of the electromagnetic spectrum.

As used herein, the term “dispersive” is used, with respect to optical components, to describe a component that is designed to separate spatially, the different wavelength components of a polychromatic beam of light. Non-limiting examples of “dispersive” optical elements by this definition include diffraction gratings and prisms.

FIG. 1 shows an isometric view of a compact spectrometer 102, in accordance with configurations. The spectrometer 102 can be used as a general purpose material analyzer for many applications. In particular, the spectrometer 102 can be used to identify materials or objects, provide information regarding certain properties of the identified materials, and accordingly provide users with actionable insights regarding the identified materials. The spectrometer 102 comprises a spectrometer head 120 configured to be directed towards a sample material S. The spectrometer head 120 comprises a spectrometer module 160, configured to obtain spectral information associated with the sample material S. The spectrometer module may comprise one or more optical components, such as a linear variable filter, as described in further detail herein. The spectrometer module may further comprise a spectrometer window 162, through which incident light from the sample material S can enter the spectrometer, to be subsequently measured by the optical components of the spectrometer module. The spectrometer head 120 may comprise an illumination module 140, comprising a light source configured to direct an optical beam to the sample material S within the field of view of the detector. The spectrometer head 120 may further comprise a sensor module 130, which may, for example, comprise a temperature sensor. The spectrometer may comprise simple means for users to control the operation of the spectrometer, such as operating button 1006. The compact size of the spectrometer 102 can provide a hand held device that can be directed (e.g., pointed) at a material to rapidly obtain information about the material. For example, as shown in FIG. 1, the spectrometer 102 may be sized to fit inside the hand H of a user.

FIG. 2 illustrates the principle of operation of an exemplary embodiment of a spatially variable filter, such as the linear variable filter 200. One example of a spatially variable filter is a linear variable filter, configured to have a plurality of transmission profiles that vary linearly across a length of the filter. Incident light 205, reflected from a surface of a sample material measured by the spectrometer, enters the spectrometer through a spectrometer input window, and hits the linear variable filter 200. The linear variable filter 200 can be configured to have a plurality of transmission profiles that vary linearly across a length 210 of the filter, each transmission profile comprising a passband centered around a center wavelength (CWL) and having a bandwidth. For example, as shown in FIG. 2, the filter can have a CWL of about 1100 nm at a first location 215, a CWL of about 1400 nm at a second location 220, and a CWL of about 1700 nm at a third location 225 along the length 210 of the filter. The bandwidth of each passband can be, for example, about 1-10% of the corresponding CWL, such as about 1 nm to about 200 nm, depending on the passband CWL. Accordingly, light 205 incident on the filter 200 can be spectrally separated by the filter, based on the location at which the incident light hits the filter. For example, as shown in FIG. 2, only portions of the incident light having wavelengths of about 1100 nm±the half bandwidth of the passband may be transmitted through the filter at location 215. Similarly, only portions of incident light having wavelengths of about 1400 nm±the half bandwidth of the passband may be transmitted through the filter at location 220, and only portions of incident light having wavelengths of about 1700 nm±the half bandwidth of the passband may be transmitted through the filter at location 225. The spectrally separated light transmitted through the filter 200 can be detected by a detector placed in series with the filter, such that the detector can then measure the amount, or intensity, of incident light at different wavelengths.

The linear variable filter 200 may comprise one or more filter coatings 230, such as bandpass filter coatings, coated onto a substrate 235. In some embodiments, the linear variable filter comprises two filter coatings 230 spaced apart with a spacer 240, such that the total thickness of the filter coating varies over the length 210 of the filter. For example, the thickness 245 of the filter coating at a first end 250 of the filter may be smaller than the thickness 255 of the filter coating on a second end 260 of the filter. A bandpass filter coating may be configured such that the passband CWL varies as a function of coating thickness. Thus, a linear variable filter having a thickness that varies linearly along its length can be configured to have a plurality of passband CWL that vary linearly along the length of the filter.

FIG. 3 illustrates an exemplary light intensity distribution on a spatially variable filter, such as the linear variable filter 200. As sampling conditions vary, light 205 from the sample material incident on the spectrometer window may change in absolute intensity and in relative intensity across the area of filter. Variations in relative intensity across the area of the filter may be indistinguishable from true spectral variations of the incident light, thus introducing “false” spectral variations or distortions into the measured spectra. For example, if the spectrometer input window is tilted with respect to the sample plane, a first end 250 of a linear variable filter 200, positioned behind the spectrometer window, may be closer to the sample surface than a second end 260 of the filter. Accordingly, as shown in graph 265, the incident light may impinge upon the first end 250 of the filter at a higher intensity than at the second end 260 of the filter. A detector or sensor 300, optically coupled to the linear variable filter to receive light transmitted through the filter, may then detect a higher intensity of light having a wavelength corresponding to the transmission profile of the first end of the filter, while detecting a relatively weaker intensity of light having a wavelength corresponding to the transmission profile of the second end of the filter. In such a scenario, the differences in the detected intensity of light at different wavelengths would be at least partially attributable to the tilt of the spectrometer, rather than to the true spectral composition of the light reflected from the sample material. Such an outcome can distort the measured spectra of the sample depending on the tilt, position, or orientation of the spectrometer, or on other sampling conditions that can introduce similar distortions in the measured spectra.

A compact spectrometer, such as the handheld spectrometer 102 shown in FIG. 1, may often be used to measure a sample at various positions and/or orientations with respect to the sample plane. Therefore, a spatially variable filter for incorporation with a compact spectrometer would benefit from having reduced variations in measured input light intensity across the area of the filter, so as to improve the accuracy and reliability of spectral measurements of the same sample taken under different sampling conditions. Described herein are various exemplary embodiments of a spatially variable filter suitable for incorporation with a compact spectrometer, the spatially variable filter comprising a plurality of spaced apart filter regions having similar transmission profiles in order to measure spatial variation of the input light energy incident on the spatially variable filter. Each exemplary embodiment may comprise one or more linear variable filters, discrete filters, or combinations thereof. A linear variable filter, configured to have a plurality of transmission profiles that vary linearly across a length of the filter, is a special type of a spatially variable filter. Other types of spatially variable filters having various configurations and principles of operation are also described herein, wherein each type of spatially variable filter may have a different dependency between spatial locations and transmission profiles.

FIG. 4 illustrates a top view of an exemplary configuration of a linear variable filter 400 suitable for incorporation with a compact spectrometer. The linear variable filter 400 can be optically coupled to a detector 300, such that light reflected from a sample surface first passes through the filter, and the spectrally separated light then hits the detector. The detector 300 can comprise a plurality of detector elements 305, such as pixels. The detector may comprise, for example, an image sensor such as a CCD or a 2-D CMOS array. The filter 400 may be spaced apart from or in contact with the detector. For example, the filter may comprise a linear variable filter coating that is at least partially deposited on separate detector elements of the detector. Alternatively, the filter may comprise a support placed in proximity and configured to support and separate the detector elements in order to filter light spatially among the separate detector elements. The filter 400 may be aligned with the detector 300 such that the light spectrally separated by the filter impinges upon at least a portion of the detector elements. In many configurations, the filter and detector are aligned such that the spectrally separated light transmitted through the filter impinges upon the entire area of the detector.

The linear variable filter 400 can comprise a plurality of different spaced apart regions 405 having different transmission profiles, the transmission profiles varying linearly along the length 410 of the filter as described herein. Each filter region 405 can comprise an area of the filter 400 configured to transmit light that is received by a detector element operatively coupled to the filter region. The different transmission profiles may comprise full width half maximum (FWHM) ranges that are at least about 5 nm different from each other and/or center wavelengths at least about 5 nm different from each other, for example. The detector 300 may comprise a plurality of detector elements such as pixels 305, each detector element optically coupled to each of the different filter regions 405 of the filter 400. The filter 400 and detector 300 can be aligned such that each pixel 305 corresponds to a different location along the length 410 of the filter. Each pixel 305 can be configured to record an amount of the light detected by the pixel. The detected intensity of light at each pixel can correspond to the intensity of the incident light at a range of wavelengths determined by the transmission profile of the corresponding filter region 405. The detector 300 can be operatively coupled to a processor configured to receive data from the detector, and output spectral data in response to transmitted light intensity at the plurality of different filter regions 405.

As described herein, spectral data generated using a linear variable filter can be distorted by the effect of incident light intensity variations across the area of the filter. To address this issue, the linear variable filter 400 and the detector 300 may be configured such that at least a portion of the detector elements 305 of the detector receive incident light from the sample that has not been spectrally separated by the filter 400. For example, the detector 300 can comprise “exposed” pixels 310 and “covered” pixels 315, wherein the exposed pixels 310 receive unseparated incident light and the covered pixels 315 receive spectrally separated light transmitted through the filter 400. In configurations where the filter 400 comprises a separate filter unit placed in series with the detector 300, the filter unit can have an area that is smaller than the area of the detector so as to leave some of the detector pixels exposed, or the filter unit and the detector may be aligned so as to have a non-overlapping area. In embodiments where the filter 400 comprises a filter coating deposited directly onto the detector 300, the filter coating may be deposited over only a portion of the detector elements, so that a remaining portion of the detector elements remains uncoated. Preferably, the exposed pixels 310 extend over the entire length 410 of the linear variable filter 400, such that the exposed pixels can determine the distribution of light intensity across the entire length, and therefore over the entire spectrum, of the linear variable filter.

The exposed pixels 310 can record the intensity variation of the incident light across the area of the detector 300, providing a way of measuring spatial variations of incident light intensity across the area of the filter 400. The light distribution recorded by the exposed pixels can subsequently be used to reduce the contribution of spatial variations in light intensity in the output spectra. A processor coupled to the detector may be configured with instructions to adjust the output spectral data in response to the detected spatial intensity variations of light. The adjusted spectral data can comprise a more accurate representation of the spectral information of the measured sample.

Since the exposed pixels 310 receive unseparated light, the intensity of the signal recorded by the exposed pixels can be much greater than the intensity of the signal recorded by the covered pixels 315. In many instances, the difference between the intensity of the signal recorded by the exposed pixels and the covered pixels may be greater than the dynamic range of the detector 300. Accordingly, the exposure time of the detector may be set such that overexposure of the exposed pixels is avoided, though such an exposure time may yield a relatively low detected signal for the covered pixels. One approach to compensate for the difference in detected signal strength between the exposed and covered detector pixels is to reduce the detected signal strength for the exposed pixels. For example, the linear variable filter 400 may comprise a plurality of similar spaced apart filter regions 407 having similar transmission profiles, such that the incident light is transmitted through the similar regions 407 in a substantially uniform manner. Similar transmission profiles may comprise, for example, center wavelengths that are within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another, and FWHM within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another. The similar regions 407 may comprise a neutral density filter, or any type of uniform intensity filter configured to have a substantially fixed transmission profile along its length. Alternatively or in combination, the similar filter regions 407 may comprise a plurality of separate aperture elements or partially-occluding structures placed over each detector element 305, to reduce the amount of light received by each exposed pixel 310. The similar filter regions 407 may extend along a distance comprising at least half of a maximum distance across the sensor, such as the length 410 of the filter. Another approach to compensate for the detected signal strength difference between the covered and exposed pixels is to configure different portions of the detector to have different exposure times. For example, the covered pixels, configured to receive light transmitted through the different filter regions 405, can be configured to have an exposure time that is longer than the exposure time of the exposed pixels, configured to receive light transmitted through the similar filter regions 407.

FIGS. 5A and 5B illustrate top views of other exemplary configurations of a spatially variable filter 500 suitable for incorporation with a compact spectrometer. The spatially variable filter 500 can be optically coupled to a detector 300 comprising a plurality of detector elements such as pixels 305, as described in further detail in reference to the embodiment of FIG. 4. The spatially variable filter 500 can comprise a plurality of different spaced apart regions 505 having different transmission profiles, the transmission profiles varying linearly along the length 510 of the filter as described herein. Each filter region 505 can comprise an area of the filter 500 configured to transmit light that is received by a detector element operatively coupled to the filter region. The different transmission profiles may comprise full width half maximum (FWHM) ranges that are at least about 5 nm different from each other and/or center wavelengths at least about 5 nm different from each other, for example. The detector 300 may comprise a plurality of detector elements such as pixels 305, each detector element optically coupled to each of the different filter regions 505 of the filter 500. The filter 500 and detector 300 can be aligned such that each pixel 305 corresponds to a different location along the length 510 of the filter. Each pixel 305 can be configured to record an amount of the light detected by the pixel. The detected intensity of light at each pixel can correspond to the intensity of the incident light at a range of wavelengths determined by the transmission profile of the corresponding filter region. The detector 300 can be operatively coupled to a processor configured to receive data from the detector, and output spectral data in response to transmitted light intensity at the plurality of different filter regions 505.

As described herein, spectral data produced using a spatially variable filter can be distorted by the effect of incident light intensity variations across the area of the filter. To address this issue, the spatially variable filter 500 can comprise a plurality of similar spatially variable filter elements, such that the filter comprises a plurality of similar spaced apart filter regions 507 distributed over the area of the filter. Similar filter regions 507 may have similar transmission profiles, for example comprising center wavelengths that are within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another, and/or FWHM within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another. Spectral data generated with detector elements 305 coupled to the similar filter regions 507 can be used to determine a spatial variation in the intensity of the incident light, since the detector elements can detect light having similar transmission profiles impinging upon the filter 500 at different locations. The output spectra may then be adjusted to reduce the spatial variation in the intensity of incident light.

For example, as shown in FIG. 5A, the filter 500 may comprise two similar linear variable filter elements 520 and 530, oriented in opposite directions with respect to the two ends 550 and 560 of the filter 500. For example, if filter element 520 is oriented to transmit light of about 1100 nm at end 550 and about 1700 nm at end 560, the filter element 530 may be oriented to transmit light of about 1700 nm at end 550, and 1100 nm at end 560. The filter elements 520 and 530 can have similar linearly varying transmission profiles, such that the filter comprises a plurality of similar filter regions 507 having similar transmission profiles positioned at different locations of the filter 500. Detector elements 305 of the detector 300 may be configured to measure the intensity of the light transmitted through the plurality of similar filter regions 507. If the incident light does not contain any intensity variations across the area of the filter 500, the data collected by the detector elements coupled to the similar filter regions 507 will be similar or substantially identical. However, if the incident light contains intensity variations across the area of the filter 500, the data collected by the detector elements coupled to the similar filter regions 507 will be different. For example, the incident light may comprise a linear gradient along the length 510 of the filter 500, such that the intensity of the incident light is stronger at end 550 than at end 560. In this case, the detector elements coupled to filter region 507 of the filter element 530 will detect a higher intensity of light compared to the detector elements coupled to filter region 507 of the filter element 520.

If the measurement data collected by the plurality of detector elements coupled to the plurality of similar filter regions 507 indicate the presence of a spatial variation in the intensity of incident light, a data analysis algorithm may be applied to reduce the spatial variation in the output spectra. A processor coupled to the detector may be configured with instructions to adjust the output spectral data in response to the detected spatial intensity variations of light. For example, in the case of incident light having a linear gradient in intensity across the length 510 of the filter 500, the measurement data generated by detector elements coupled to a plurality of similar filter regions may be averaged. Thus, normalized or adjusted spectral data can comprise a more accurate representation of the spectral information of the measured sample.

While FIG. 5A shows the spatially variable filter 500 having two linear variable filter elements positioned in linearly opposite directions, filter 500 may comprise a plurality of spatially variable filter elements of any number and any suitable orientation to allow algorithmic compensation for relative intensity variations of the incident light. The detector 300 can comprise detector elements configured to measure the intensity of light transmitted through the plurality of different and similar filter regions of any number and/or spatial distribution across the filter 500. Accordingly, while the compensation algorithm has been described as an averaging of measurement data with respect to the configuration shown in FIG. 5A, any appropriate algorithm may be used to adjust the measured spectral data to reduce spatial variation of light intensity across the area of the filter 500.

For example, as shown in FIG. 5B, spatially variable filter 500 may comprise a plurality of adjacent filter elements 540, 541, 542, 543, and 544 concatenated one after another. Each filter element can be a linear variable filter configured to spectrally separate light over the full measured spectrum. Each filter element may comprise a plurality of different filter regions 505 having different transmission profiles. Collectively, the filter 500 may also comprise a plurality of similar filter regions 507 having similar transmission profiles, at a plurality of non-adjacent locations of the filter 500. The detector 300 may comprise a plurality of detector elements coupled to each filter region of the filter 500, in which each detector element is configured to measure the intensity of light transmitted through the filter region. The plurality of detector elements coupled to each filter element can produce a complete spectral representation of the incident light. The plurality of spectral representations obtained from a plurality of detector elements coupled to similar filter regions having similar transmission profiles can be compared with one another, in order to determine the intensity variation of the incident light, if any, across the area of the filter 500. The determined intensity variation can be factored into a data analysis algorithm to compensate for the measured intensity variations across the filter area.

FIG. 6A illustrates an exemplary configuration of a spatially variable filter 600 suitable for incorporation with a spectrometer. The spatially variable filter 600 may comprise a two-dimensional array 610 composed of a plurality of filter regions. Each filter region can comprise an area of the filter 600 configured to transmit light that is received by a detector element operatively coupled to the filter region. The filter 600 may comprise a plurality of different spaced apart filter regions having different transmission profiles at different locations. The plurality of different filter regions may comprise a plurality of discrete filter elements. Alternatively or in combination, the plurality of different filter regions may comprise a plurality of spaced apart regions of a single, continuous filter element, wherein each of the plurality of regions comprises a unique transmission profile (e.g., as in a linear variable filter). Each different filter region can be configured to transmit a range of wavelengths distributed about a central wavelength. The array 610 may comprise, for example, a plurality of bandpass filters having passband widths in a range from about 1 nm to about 200 nm, for example. In the example shown in FIG. 6A, the spatially variable filter 600 comprises different filter regions 615, 620, 625, 630, 635, 640, 645, 650, and 655 configured to have different transmission profiles as described herein. FIG. 6B illustrates exemplary different transmission profiles of the plurality of different filter regions of FIG. 6A. The different transmission profiles may comprise full width half maximum (FWHM) ranges that are at least about 5 nm different from each other and/or center wavelengths at least about 5 nm different from each other, for example. Each of the different filter regions may have a transmission profile that partially overlaps and/or does not overlap with the transmission profile of another different filter of the array. Together, the plurality of different filters of the spatially variable filter can spectrally separate the light incident on the filter.

The spatially variable filter 600 may further comprise a plurality of similar spaced apart filter regions having similar transmission profiles that are different from other transmission profiles of the array. The plurality of similar filter regions may comprise a plurality of discrete filter elements. Alternatively or in combination, the plurality of similar filter regions may comprise a plurality of spaced apart regions of a single, continuous filter element, wherein the same continuous filter element may also comprise a plurality of different filter regions as described herein. The plurality of similar spaced apart filter regions can be positioned at a plurality of locations of the spatially variable filter in order to detect spatial variations of the incident light profile. Thus, at least one of the different transmission profiles of the spatially variable filter can be repeated at a plurality of spaced apart regions of the spatially variable filter. For example, as shown in FIG. 6A, the spatially variable filter 600 may comprise four similar filter regions 615a, 615b, 615c, and 615d having a similar transmission profile. Similar transmission profiles may comprise, for example, center wavelengths that are within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another, and FWHM within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another. The filter 600 preferably comprises at least two similar spaced apart filter regions having similar transmission profiles, wherein the two spaced apart regions may be at non-adjacent locations of the filter. For example, the two similar filter regions can be spatially separated by a distance comprising at least half of the maximum distance across the spatially variable filter. In the configuration shown in FIG. 6A, similar filter regions 615a, 615b, 615c, and 615d can be located, respectively, in the upper left hand corner, upper right hand corner, lower right hand corner, and lower left hand corner of the filter 600 to detect spatial variations of light incident on the array.

A detector 300, such as an image sensor as described herein, may be operatively coupled to the spatially variable filter 600, such that the incident light spectrally separated by the filter is subsequently detected by the detector. The detector may comprise a plurality of detector elements 340. Each detector element is optically coupled to each of the plurality of similar filter regions and each of the plurality of different filter regions. The plurality of detector elements may be configured in a two-dimensional array positioned in alignment with the filter array 610. Each detector element may comprise of plurality of pixels configured to detect the incident light. The filter 600 may be spaced apart from or in contact with the detector 300. For example, the filter may comprise a plurality of bandpass filter coatings at least partially deposited on the detector elements, or the filter may comprise a separate filter unit placed in series and aligned with the detector elements. Each of the plurality of filter regions of the filter 600 may be deposited on each of plurality of detector elements.

Each of the similar filter regions of the filter array, such as filters 615a, 615b, 615c, and 615d, can be optically coupled to a detector element 340. For example, as shown in FIG. 6A, detector element 340a can be configured to record the intensity of light transmitted through filter region 615a, detector element 340b can be configured to record the intensity of light transmitted through filter region 615b, detector element 340c can be configured to record the intensity of light transmitted through filter region 615c, and detector element 340d can be configured to record the intensity of light transmitted through filter region 615d. If the incident light is uniform in intensity across the area of the filter 600, the detector elements coupled to the plurality of similar filter regions may detect similar signal intensities. For example, each of detector elements 340a, 340b, 340c, and 340d may detect similar signal intensities for the spectral component of the incident light corresponding to the transmission profile of filter region 615. If the incident light varies in intensity across the area of the filter 600, the detector elements coupled to the plurality of similar filter regions may detect varying signal intensities. For example, each of detector elements 340a, 340b, 340c, and 340d may detect a different signal intensity for the spectral component of the incident light corresponding to the transmission profile of filter region 615. Thus, a filter array having two or more similar filter regions with the same transmission profile, distributed in different spatial locations of the filter array, can help detect the presence of incident light intensity variations across the area of the filter, as well as the pattern of the intensity variation.

A processor 100, operatively coupled to the detector 300, can receive measurement data from the detector, and output spectral data in response to the transmitted light intensity at the plurality of similar and different filter regions. The processor may comprise a tangible medium configured with instructions to receive input spectral data, the input spectral data comprising similar spectral data generated by the plurality of similar filter regions at a plurality of locations of the detector array. The processor may be further configured to determine a spatial variation of the intensity of incident light across the area of the filter 600. For example, the processor may comprise instructions to compare the spectral data generated by the plurality of detector elements coupled to the plurality of similar filter regions, thereby identifying any discrepancies in the spectral data generated by the similar filter regions at different locations of the spatially variable filter. The processor may further comprise instructions to generate output spectral data in response to the similar spectral data. The processor may be configured to adjust the output spectra in response to any detected intensity variations among the plurality of similar filters at a plurality of locations. For example, the processor may comprise instructions to apply an appropriate algorithm to adjust the measurement data generated by the detector, so as to reduce the effect of any spatial non-uniformity in the intensity of the sample light on the output spectra. The recorded signal intensity for a particular spectral component of the incident light may, for example, be averaged across all similar filter regions of the filter array configured to have similar transmission profiles.

A spatially variable filter may have any number of different filter regions having different transmission profiles, and each different transmission profile may be repeated at any number of spaced apart regions of the spatially variable filter so as to provide a plurality of similar filter regions. For example, a spatially variable filter as described herein may comprise at least N different filter regions having N different transmission profiles, wherein N is an integer within a range from about 3 to about 1,000,000. For example, N may be at least 5, at least 6, at least 7, at least 8, at least 9 or at least 10, for example. At least one of the N different transmission profiles may be repeated at M spaced apart regions of the spatially variable filter, wherein M is an integer within a range from about 2 to about 100. For example, M may be at least two. N may be greater than M, or M may be greater than N. N may be at least five times M, or N may be at least one hundred times M. Each different transmission profile may be repeated at a different number of spaced apart regions of the spatially variable filter. For example, a first transmission profile may be repeated at two spaced apart regions so as to provide two similar filter regions having the first transmission profile, while a second transmission profile different from the first transmission profile may be repeated at five spaced apart regions so as to provide five similar filter regions having the second transmission profile. The different filter regions and similar filter regions of the spatially variable filter may be distributed in any spatial pattern. Each filter region may comprise any transmission profile suitable for collecting spectral representations of a sample material, such that collectively, the filter array can spectrally separate the incident light to generate a spectral representation of the incident light.

FIGS. 7A-7C illustrate exemplary configurations of a spatially variable filter suitable for incorporation with a spectrometer. In these exemplary configurations and in other configurations of a spatially variable filter as described herein, the spatially variable filter comprises a plurality of different filter regions and a plurality of similar filter regions, wherein the plurality of filter regions may comprise a plurality of discrete filter elements, a plurality of spaced apart regions of a single, continuous filter element, or a combination thereof. Each filter region can comprise an area of the filter configured to transmit light that is received by a detector element operatively coupled to the filter region. FIG. 7A illustrates a spatially variable filter 700a comprising 8 different filter regions (N=8), each of which is repeated at 2 spaced apart regions of the filter 700a to provide 2 similar filter regions (M=2). Each of the 8 different filter regions 701, 702, 703, 704, 705, 706, 707, and 708 can be configured to have a unique transmission profile. Each different transmission profile is repeated at two spaced apart regions of the filter 700a, such that the filter 700a comprises two similar filter regions for each different transmission profile. As shown, filter region 701 having a unique transmission profile is repeated at two spaced apart regions of the filter 700a to provide two similar filter regions 701a and 701b having similar transmission profiles. Filter region 701a is located at the upper left hand corner of the filter 700a, while 701b is located at the lower right hand corner of the filter 700a. FIG. 7B illustrates a spatially variable filter 700b comprising 9 different filter regions (N=9), only one of which is repeated at 8 spaced apart regions of the filter 700b to provide 8 similar filter regions (M=8). Each of the 9 different filter regions 701, 702, 703, 704, 705, 706, 707, 708, and 709 can be configured to have a unique transmission profile. The transmission profile of filter region 709 is repeated at 8 different locations of the filter 700b to provide 8 similar filter regions 709a, 709b, 709c, 709d, 709e, 709f, 709g, and 709h having similar transmission profiles. Each similar filter region is disposed at a different location of the spatially variable filter 700b, for example at different locations along the length 710b of the filter 700b. FIG. 7C illustrates a spatially variable filter 700c comprising 9 different filter regions (N=9) each having a unique transmission profile, wherein 8 of the different transmission profiles are repeated at 5 different locations (M₁=5), and wherein one of the different transmission profiles is repeated at 8 different locations (M₂=8). Each of the 8 different transmission profiles of filter regions 701, 702, 703, 704, 705, 706, 707, and 708 is repeated at 5 different locations along the width 715c of filter 700c, such that the filter 700c comprises 5 similar filter regions for each of the transmission profiles. For example, as shown in FIG. 7C, the transmission profile of filter region 701 is repeated at 5 different locations, yielding similar filter regions 701a, 701b, 701c, 701d, and 701e having a similar transmission profile. The transmission profile of filter region 709 is repeated at 9 different locations along the length 710c of the filter 700c, such that filter 700c comprises 9 similar filter regions having similar transmission profiles. As shown in FIG. 7C, the transmission profile of filter region 709 is repeated at 8 different locations, yielding 8 similar filter regions 709a, 709b, 709c, 709d, 709e, 709f, 709g, and 709h.

FIG. 8 is a flow chart illustrating a method 800 of reducing measured intensity variations across an area of a linear variable filter 400 as shown in FIG. 4. In step 805, the intensity of light incident on the filter is measured by the exposed pixels, or the pixels of the detector receiving unseparated light, wherein the unseparated light may be transmitted through a plurality of similar filter regions of the filter. The exposed pixels can measure the variation, if any, of the incident light across the area of the filter, by recording the intensity distribution of the spectrally unseparated light over the length of the linear variable filter. In step 810, the intensity of light incident on the filter is measured by the covered pixels, or the pixels of a detector receiving light spectrally separated by a plurality of different filter regions of the filter. In step 815, the spatial variation of light intensity on the filter is determined, by analyzing the signals measured by the exposed pixels. Step 815 can comprise, for example, determining the pattern and/or gradient of the variation of light intensity across the length of the linear variable filter. In step 820, the measurements made by the covered pixels of the detector are adjusted to reduce the spatial variation of light intensity determined in step 815. For example, signals recorded by covered pixels corresponding to locations of relatively high light intensity can be adjusted downwards by an appropriate amount, while signals recorded by covered pixels corresponding to locations of relatively low light intensity can be adjusted upwards by an appropriate amount. In step 825, adjusted sample spectra are generated based on the adjusted measurement data.

FIG. 9 is a flow chart illustrating a method 900 of reducing measured intensity variations across an area of a spatially variable filter 500 as shown in FIGS. 5A and 5B. In step 905, the intensity of light incident on a first spatially variable filter element is measured by a detector receiving light transmitted through the first filter element. In step 910, the intensity of light incident on a second spatially variable filter element is measured by the detector receiving light transmitted through the second filter element. In embodiments of the filter that comprise more than two filter elements, step 910 may be repeated as many times as necessary to collect data from all filter elements. In step 915, the spatial variation of light intensity on the filter is determined, by comparing the spectra of light transmitted through the two or more spatially variable filter elements. Step 915 can comprise, for example, determining the pattern and/or gradient of the variation of light intensity across the length of the spatially variable filter. In step 920, the detector measurements are adjusted to reduce the spatial variation of light intensity determined in step 915. For example, if the incident light is determined to have a linear gradient in step 915, the measurements made by the two or more filter elements for a particular spectral component of light can be averaged. In step 925, adjusted sample spectra are generated based on the adjusted measurement data.

FIG. 10 is a flow chart illustrating a method 1000 of reducing measured intensity variations across an area of a spatially variable filter 600 as shown in FIG. 6A. In step 1005, the intensity of light incident on a plurality of different filter regions and a plurality of similar filter regions of the filter is measured, wherein the similar filter regions are configured to have similar transmission profiles and are positioned in a plurality of locations of the filter array of filter, as described herein. In step 1010, the measurements across the similar filter regions are compared. In step 1015, the spatial variation of light intensity on the filter is determined, based on the comparison of measurements across the similar filter regions performed in step 1010. Step 1015 can comprise, for example, determining the pattern and/or gradient of the variation of light intensity across the area of the spatially variable filter. In step 1020, the detector measurements are adjusted to reduce the spatial variation of light intensity determined in step 1015. For example, if the incident light is determined to vary across the area of the filter, the measurements made by the plurality of similar filters can be averaged. In step 1025, adjusted sample spectra are generated based on the adjusted measurement data.

For all methods described herein, many variations and modifications may be made based on the disclosure provided herein. For example, some steps may be added, removed, or substituted. Some of the steps may comprise sub-steps, and many of the steps can be repeated.

FIG. 11 illustrates an exemplary configuration of a spatially variable detector 1300 suitable for incorporation with a compact spectrometer. The spatially variable detector 1300 may comprise a two-dimensional array 1310 composed of a plurality of detector regions 1315, 1320, 1325, 1330, 1335, and 1340. In some instances, the spatially variable detector 1300 can be positioned in alignment with, and optically coupled to, a common filter. The common filter can be a bandpass filter covering a wavelength range of interest. Optionally, the spatially variable detector 1300 can be positioned in alignment with, and optically coupled to, an array of filters. Still optionally, no filter may be used in the compact spectrometer. In some instances, a single broadband light source 1900 can be used together with the spatially variable detector 1300 in the compact spectrometer. The light source 1900 can emit a light beam covering a broad wavelength range. The detector 1300 may comprise a plurality of different spaced apart detector regions having different detectable wavelength ranges at different locations. Each detector region may comprise of plurality of pixels configured to detect an incident light. Each of the detector regions can be configured to record the intensity of light which impinges on it.

The plurality of different detector regions may comprise a plurality of discrete detector regions 1315, 1320, 1325, 1330, 1335, and 1340. Alternatively or in combination, the plurality of different detector regions may comprise a plurality of spaced apart regions of a single, continuous detector element, where each of the plurality of element comprises a unique detectable wavelength range. Each different detector region can be configured to detect a range of wavelengths distributed about a central wavelength. The array 1310 may comprise, for example, a plurality of detectors having detectable wavelength ranges in a range from about 1 nm to about 200 nm, for example. In the example shown in FIG. 11, the spatially variable detector 1300 can comprise different detector regions 1315, 1320, 1325, 1330, 1335, and 1340 configured to detect incident light of different wavelength ranges. In some instances, each of the plurality of detector regions may have a detectable wavelength range that partially overlaps with the detectable wavelength range of another different detector region. Optionally, each of the plurality of detector regions may have a unique detectable wavelength range that does not overlap with the detectable wavelength range of another different detector region. Together, the plurality of different detectors of the spatially variable detector can cover an entire spectral range of interest of the incident light.

The spatially variable detector 1300 may further comprise a plurality of similar spaced apart detector regions having substantially identical detectable wavelength ranges that are different from other detectable wavelength ranges of the array (for example, detectable wavelength ranges of different spaced apart detector regions). The plurality of similar detector regions may comprise a plurality of discrete detector regions. Alternatively or in combination, the plurality of similar detector regions may comprise a plurality of spaced apart regions of a single, continuous detector region. The plurality of similar detector regions can be positioned at a plurality of locations of the spatially variable detector in order to detect spatial variations in intensity of the incident light. The spatially variable detector may be configured to detect a pattern and/or gradient of the variations in light intensities across a length of the spatially variable detector. Thus, at least one of the different wavelength ranges in the incident light can be detected at a plurality of spaced apart regions of the spatially variable detector, and can then be adjusted with the determined pattern and/or gradient of the variations in light intensities. For example, as shown in FIG. 11, the spatially variable detector 1300 may comprise four similar detector regions 1315a, 1315b, 1315c, and 1315d which can detect light having a substantially identical wavelength range. Substantially identical wavelength range may comprise, for example, center wavelengths that are within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another, and FWHM within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another. The detector 1300 preferably comprises at least two similar detector regions which can detect a substantially identical wavelength range. The two similar detector regions may be at non-adjacent locations of the detector. For example, the two similar detector regions can be spatially separated by a distance comprising at least half of the maximum distance across the spatially variable detector. In the configuration shown in FIG. 11, the similar detector regions 1315a, 1315b, 1315c, and 1315d can be located, respectively, in the upper left hand corner, upper right hand corner, lower right hand corner, and lower left hand corner of the detector 1300 to detect spatial variations of light incident on the array. The spatially variable detector 1300 may also comprise five different detector regions 1320, 1325, 1330, 1335, and 1340 which can detect light having substantially different wavelength ranges. The wavelength ranges detected by the different detector regions may be different from the wavelength ranges detected by the similar detector regions.

If the incident light is uniform in intensity across the area of the spatially variable detector 1300, the plurality of similar detector regions may detect similar signal intensities. For example, each of the similar detector regions 1315a, 1315b, 1315c, and 1315d may detect substantially identical signal intensities for a spectral component of the incident light corresponding to the detectable wavelength range of the similar detector regions 1315a, 1315b, 1315c, and 1315d. If the incident light varies in intensity across the area of the detector 1300, the plurality of similar detector regions may detect varying signal intensities. For example, each of the similar detector regions 1315a, 1315b, 1315c, and 1315d may detect a different signal intensity for the same spectral component of the incident light corresponding to the detectable wavelength range of the similar detector regions 1315a, 1315b, 1315c, and 1315d. Thus, a detector array having two or more similar detector regions, which having substantially identical detectable wavelength range and being distributed in different spatial locations of the detector array, can help to detect the presence of incident light intensity variations across the area of the spatially variable detector 1300, as well as the pattern of the intensity variation.

A spatially variable detector may have any number of different filter regions having different detectable wavelength ranges, and each different detectable wavelength range may be repeated at any number of spaced apart regions of the spatially variable detector so as to provide a plurality of similar detector regions. For example, a spatially variable detector as described herein may comprise at least N different detector regions having N different detectable wavelength ranges, wherein N is an integer within a range from about 3 to about 1,000,000. For example, N may be at least 3, at least 4, at least 5, at least 6, at least 7, at least 8, at least 9 or at least 10, for example. At least one of the N different detectable wavelength ranges may be repeated at M spaced apart regions of the spatially variable detector, wherein M is an integer within a range from about 2 to about 100. For example, M may be at least two. N may be greater than M, or M may be greater than N. Each different detectable wavelength range may be repeated at a different number of spaced apart regions of the spatially variable detector. For example, a first detectable wavelength range may be repeated at two spaced apart regions so as to provide two similar detector regions having the first detectable wavelength range, while a second detectable wavelength range different from the first detectable wavelength range may be repeated at five spaced apart regions so as to provide five similar detector regions having the second detectable wavelength ranges. The different detector regions and similar detector regions of the spatially variable detector may be distributed in any spatial pattern. Each detector region may comprise any detectable wavelength range in spectral representations of a sample material, such that collectively, the detector array can collect the incident light to generate a complete spectral representation of the incident light.

A processor 1100, operatively coupled to the detector 1300, can receive measurement data from the detector, and output spectral data in response to the incident light intensity at the plurality of detector regions. The processor may comprise a tangible medium configured with instructions to receive input spectral data, the input spectral data comprising similar spectral data generated by the plurality of similar detector regions at a plurality of locations of the detector array. The processor may be further configured to determine a spatial variation of the intensity of incident light across the area of the detector 1300. For example, the processor may comprise instructions to compare the spectral data generated by the plurality of detector regions, thereby identifying any discrepancies in the spectral data generated by the similar detector regions at different locations of the spatially variable detector. The processor may further comprise instructions to generate output spectral data in response to the similar spectral data. The processor may be configured to adjust the output spectra in response to any detected intensity variations among the plurality of similar detector regions at a plurality of locations. For example, the processor may comprise instructions to apply an appropriate algorithm to adjust the measurement data generated by the detector, so as to reduce the effect of any spatial non-uniformity in the intensity of the sample light on the output spectra. The recorded signal intensity for a particular spectral component of the incident light may, for example, can be averaged across all similar detector regions of the detector array configured to have substantially identical detectable wavelength range.

FIG. 12 is a flow chart illustrating a method 1200 of reducing measured intensity variations across an area of a spatially variable detector 1300 as shown in FIG. 11. The method 1200 can be implemented in the processor 1100 as shown in FIG. 11, for example. In step 1205, the intensity of light incident on the spatially variable detector 1300 as shown in FIG. 11 can be measured. The light incident on the spatially variable detector can be the light passing through a common filter which is optically coupled to the spatially variable detector of compact spectrometer. Optionally, no common filter may be used in the compact spectrometer. The measured intensity of light may comprise the intensities of a plurality of wavelength ranges. The plurality of wavelength ranges may comprise a similar wavelength range corresponding to the substantially identical detectable wavelength ranges of the similar detector regions 1315a, 1315b, 1315c, and 1315d as shown in FIG. 11 and different wavelength ranges corresponding to the different detectable wavelength ranges of the different detector regions.

In step 1210, the measured intensities of light incident on the similar detector regions can be compared. For example, the measured intensity of light incident on the similar detector regions 1315a, 1315b, 1315c, and 1315d as shown in FIG. 11 can be compared. In step 1215, the spatial variation of measured light intensity on the detectors can be determined, from the comparison of the measured intensity of light incident on the similar detector regions. Step 1215 can comprise, for example, determining a pattern and/or gradient of the variation of light intensity across the length of the spatially variable detector. In step 1220, the detector measurements can be adjusted in response to the determined pattern and/or gradient, so as to reduce the spatial variation of light intensity determined in step 1215. In step 1225, adjusted sample spectra can be generated based on the adjusted measurement data.

In some embodiments, the method 1200 can comprise the following processing:

1) Each of the light intensities measured by the detector regions 1315a, 1320, 1315b, 1325, 1330, 1335, 1315d, 1340 and 1315d is indicated by the detector number 1315a, 1320, 1315b, 1325, 1330, 1335, 1315d, 1340 and 1315d, respectively;

2) Define M=(1315a+1315b+1315c+1315d)/4 as the average intensity of the similar detector regions;

3) The adjusted spectral intensities are therefore:

a. 1320′=1320*2M/(1315a+1315b)
b. 1325′=1325*2M/(1315a+1315d)

c. 1330′=1330

d. 1335′=1335*2M/(1315b+1315c)
e. 1340′=1340*2M/(1315d+1315c)

In the exemplary method illustrated in FIG. 12, an implementation of the bi-linear interpolation estimation algorithm is achieved. Such an implementation can be achieved as would be understood by one skilled in the art. Based on the description herein, it will apparent to those skilled in the art that, other interpolation algorithms may be used. In some instances, a bi-cubic interpolation can be used. The bi-cubic interpolation can be beneficial if there are a large number of similar detector regions, for example, 16 or more.

In the exemplary method, the intensity of incident light between the similar detector regions can be interpolated and a “gain map” of the incident light intensity on each location in the detector array can be derived. For example, the gain for the detector region 1320 can be calculated as 2M/(1315a+1315b), and the gain for the detector region 1340 can be calculated as 2M/(1315d+1315c). The reading of all detectors would then be multiplied with this gain map to remove the gain difference between the detectors. In some embodiments, the detector array can comprise more detectors of the same detectable wavelength ranges, such that a more accurate representation of the gain map (e.g. 2D polynomial fit) may be derived. It would be preferred, in some cases, the detectable wavelength ranges can be replicated with lowest responsivity (for example, considering illumination spectrum and photodiode responsivity), such that in addition to deriving the gain map, the method can also improve the SNR of that wavelength ranges. In some instances, multiple types of photodiodes can be replicated, for example, 3 of the lowest sensitivity wavelength, 2 of the second lowest etc., and then, the gain map can be derived by piecing together the different gain maps that are derived from each replicated wavelength ranges.

Although the exemplary method is illustrated with reference to the spatially variable detector 1300 having 9 detectors (for example, nine photodiodes, sensitive to different wavelengths) as shown in FIG. 11, it is apparent that this method can be used to measure and generate an adjusted spectra with a spatially variable detector having an arbitrary array of detectors. For example, a gain factor for each detector region can be first calculated using a bi-linear interpolation, and a reading of the detector region can then be multiplied with this gain factor to remove the gain difference between the detectors. The gain factor can be normalized by an average intensity of those similar detector regions.

For example, in a spatially variable detector having an array of detectors, if four similar detector regions are provided at four corners of the array of detectors with coordinates Q11=(x1, y1), Q12=(x1, y2), Q21=(x2, y1), and Q22=(x2, y2) respectively, the gain factor for a detector region at the point (x, y) can be determined with the following processing:

1) Linear interpolation in the x-direction can be performed first. This yields:

$f (x, y_{1}) \approx \frac{x_{2} - x}{x_{2} - x_{1}} f (Q_{11}) + \frac{x - x_{1}}{x_{2} - x_{1}} f (Q_{21})$

$f (x, y_{2}) \approx \frac{x_{2} - x}{x_{2} - x_{1}} f (Q_{12}) + \frac{x - x_{1}}{x_{2} - x_{1}} f (Q_{22})$

2) Linear interpolation in the y-direction can then be performed. This yields:

$\begin{matrix} f (x, y) \approx \frac{y_{2} - y}{y_{2} - y_{1}} f (x, y_{1}) + \frac{y - y_{1}}{y_{2} - y_{1}} f (x, y_{2}) \\ \approx \frac{y_{2} - y}{y_{2} - y_{1}} (\frac{x_{2} - x}{x_{2} - x_{1}} f (Q_{11}) + \frac{x - x_{1}}{x_{2} - x_{1}} f (Q_{21})) + \\ \frac{y - y_{1}}{y_{2} - y_{1}} (\frac{x_{2} - x}{x_{2} - x_{1}} f (Q_{12}) + \frac{x - x_{1}}{x_{2} - x_{1}} f (Q_{22})) \\ = \frac{1}{(x_{2} - x_{1}) (y_{2} - y_{1})} (f (Q_{11}) (x_{2} - x) (y_{2} - y) + \\ f (Q_{21}) (x - x_{1}) (y_{2} - y) + f (Q_{12}) (x_{2} - x) (y - y_{1}) + \\ f (Q_{22}) (x - x_{1}) (y - y_{1})) \\ = \frac{1}{(x_{2} - x_{1}) (y_{2} - y_{1})} [\begin{matrix} x_{2} - x & x - x_{1} \end{matrix}] [\begin{matrix} f (Q_{11}) & f (Q_{12}) \\ f (Q_{21}) & f (Q_{22}) \end{matrix}] \\ [\begin{matrix} y_{2} - y \\ y - y_{1} \end{matrix}] \end{matrix}$

In the above equations, for example, f(Q₁₁) is the measured intensity at similar detector region having coordinates Q11=(x1, y1). The gain factor for a detector region at the point (x, y) can be determined. This gain factor can be normalized by an average intensity M of the similar detector regions to eliminate the relative signal of the replicated wavelength. In this example, M=(f(Q₁₁) f(Q₁₂)+f(Q₂₁)+f(Q₂₂))/4. The actually measured intensity at a detector region between the similar detector regions can then be adjusted by multiplying the corresponding normalized gain factor, such that the gain difference between the detectors can be removed.

In some embodiments, calibration data may be used to improve the gain estimation. For example, the differences in detected intensity between the similar spaced filter regions can be used to estimate the distance between the spectrometer and the sample (for example, the gradient may decrease with increasing sample distance). Then, the sample distance estimation can be used to select a predefined gain pattern. The predefined gain pattern may be more elaborate and/or accurate than a gain pattern estimated in real time. In some cases, the similar spaced filter regions can be used to find first-order gradient. Higher order gradients can be estimated based on the first-order gradient data and/or previous knowledge on the gain distribution, for example assisted by calibration and simulations.

FIG. 13 illustrates an exemplary configuration of a spatially variable light source 1900 suitable for incorporation with a compact spectrometer. The spatially variable light source 1900 may comprise a two-dimensional array 1910 composed of a plurality of lighting regions 1915, 1920, 1925, 1930, 1935, and 1940. In some instances, each one of the plurality of lighting regions 1915, 1920, 1925, 1930, 1935, and 1940 can be light emitting diodes (LEDs) or other types of limited-bandwidth light sources, each with its own wavelength range that is much smaller than the overall bandwidth of the spectrometer. The plurality of lighting regions 1915, 1920, 1925, 1930, 1935, and 1940 together can emit a light beam covering a broad range of wavelength ranges. In the compact spectrometer, the spatially variable light source 1900 can be positioned in proximity to the detector 1300. In some instances, the detector 1300 can be a single broad-bandwidth photodiode. Optionally, the detector 1300 can be a spatially variable detector having an array of detectors.

In the example shown in FIG. 13, the spatially variable light source 1900 can comprise different lighting regions 1915, 1920, 1925, 1930, 1935, and 1940 configured to emit light beams having different wavelength ranges. In some instances, each of the plurality of lighting regions may emit a light beam having wavelength range that partially overlaps with the wavelength range of another different lighting region. Optionally, each of the plurality of lighting regions may emit a light beam having a unique wavelength range that does not overlap with the wavelength range of another different lighting region. Together, the plurality of different lighting regions of the spatially variable light source can cover an entire spectral range of interest of the light. The plurality of lighting regions can operate intermittently with respect to each other. For example, the plurality of lighting regions can be turned on sequentially to sweep the entire wavelength range of interest.

The spatially variable light source 1900 may further comprise a plurality of similar spaced apart lighting regions which emit light beams having substantially identical wavelength ranges. The plurality of similar lighting regions may comprise a plurality of discrete lighting regions. Alternatively or in combination, the plurality of similar lighting regions may comprise a plurality of spaced apart regions of a single, continuous lighting region. The plurality of similar lighting regions can be positioned at a plurality of locations of the spatially variable light source in order to emit light beams having substantially identical wavelength range and spatial variations. Thus, the variation in intensity of the light beam having substantially identical wavelength range can be detected at the detector 1300.

For example, as shown in FIG. 13, the spatially variable light source 1900 may comprise four similar lighting regions 1915a, 1915b, 1915c, and 1915d which can emit light having a substantially identical wavelength range. Substantially identical wavelength range may comprise, for example, center wavelengths that are within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another, and FWHM within a range of up to about 5 nm, including from about 0.01 nm to about 5 nm, of each another. The light source 1900 preferably comprises at least two similar lighting regions which can emit a substantially identical wavelength range. The two similar lighting regions may be at non-adjacent locations of the light source. For example, the two similar lighting regions can be spatially separated by a distance comprising at least half of the maximum distance across the spatially variable light source. In the configuration shown in FIG. 13, the similar lighting regions 1915a, 1915b, 1915c, and 1915d can be located, respectively, in the upper left hand corner, upper right hand corner, lower right hand corner, and lower left hand corner of the light source 1900 to emit light beams having substantially wavelength ranges.

The similar lighting regions 1915a, 1915b, 1915c, and 1915d can be controlled to turn on sequentially and separately to record the individual intensity at the detector 1300. If the incident light from the respective similar lighting regions is not uniform in intensity at the detector 1300 (for example, the detector 1300 detects different intensity from one or more of the plurality of similar lighting regions having a substantially identical wavelength range), then a determination can be made that a non-uniform illumination condition exists. For example, each one of the similar lighting regions 1915a, 1915b, 1915c, and 1915d may emit light having substantially identical signal intensity in substantially identical wavelength range. However, the intensity of the light from the plurality of similar lighting regions impinging upon the detector may have different intensity, for example due to an inclination of the spatially variable light source 1900 and the detector with respect to the target object.

A processor (not shown) can be operatively coupled to the detector 1300, receive measurement data from the detector, and output spectral data in response to the incident light intensity. The processor can be configured to compare measurements of incident light from the plurality of similar lighting regions, determine a spatial variation of light intensity, adjust the measurement to reduce a variation of light intensity, and generate adjusted spectra based on the adjusted measurement data. For example, the processor may comprise instructions to compare the spectral data generated by the detector based on the incident light from the plurality of similar lighting regions, thereby identifying any discrepancies in the spectral data generated by the detector based on the incident light from the plurality of similar lighting regions at different locations of the spatially variable light source. The processor may comprise instructions to apply an appropriate algorithm to adjust the measurement data generated by the detector, so as to reduce the effect of any spatial non-uniformity in the illumination of the spatially variable light source on the sample.

FIG. 14 is a flow chart illustrating a method 1400 of reducing measured intensity variations in incident light emitted from a spatially variable light source 1900 as shown in FIG. 13. The method 1400 can be implemented in a processor operatively coupled to the detector 1300 as shown in FIG. 13. In step 1405, the intensity of light incident from the spatially variable light source can be measured by the detector. The light incident on the detector can be the light passing through a common filter which is optically coupled to the detector of compact spectrometer. Optionally, no filter may be used in the compact spectrometer. The measured intensity of light may comprise the intensities of a plurality of wavelength ranges. The plurality of wavelength ranges may comprise a similar wavelength range emitted from the similar lighting regions 1915a, 1915b, 1915c, and 1915d and different wavelength ranges emitted from the different detector regions 1920, 1920, 1925, 1930, 1935 and 1940.

In step 1410, the measured intensities of light emitted from the similar lighting regions of the spatially variable light source can be compared. For example, the measured intensity of light emitted from the similar lighting regions 1915a, 1915b, 1915c, and 1915d as shown in FIG. 13 can be compared. The similar lighting regions 1915a, 1915b, 1915c, and 1915d of the spatially variable light source can be controlled to turn on sequentially and separately, such that the light from only one similar lighting region can be measured at the single detector at a time.

In step 1415, the spatial variation of measured incident light intensity can be determined, from the comparison of the measured intensity of light from the plurality of similar lighting regions. Step 1415 can comprise, for example, determining a pattern and/or gradient of the variation of light intensity from across a length of the spatially variable light source. In step 1420, the detector measurements can be adjusted in response to the determined pattern and/or gradient, so as to reduce the spatial variation of light intensity determined in step 1415. In step 1425, adjusted sample spectra can be generated based on the adjusted measurement data.

In some embodiments, the method 1400 can comprise the following processing:

1) Each of the intensities of light from the lighting regions 1915a, 1920, 1915b, 1925, 1930, 1935, 1915d, 1940 and 1915d is measured and indicated by the detector 1300; the intensities of light from the lighting regions can be measured by turning on the light region sequentially and separately, such that the light from only one lighting region can be measured at the detector 1300 at a time;

2) Define M=(1915a+1915b+1915c+1915d)/4 as the average intensity of incident light from the similar lighting regions;

3) The adjusted intensities of lighting for different lighting regions are therefore:

a. 1920′=1920*2M/(1915a+1915b)
b. 1925′=1925*2M/(1915a+1915d)

c. 1930′=1930

d. 1935′=1935*2M/(1915b+1915c)
e. 1940′=1940*2M/(1915d+1915c)

In the exemplary method illustrated in FIG. 14, an implementation of the bi-linear interpolation estimation algorithm can be achieved. Such an implementation can be achieved as understood by one skilled in the art. Based on the description herein, it will apparent to those skilled in the art that, other interpolation algorithms may be used. In some instances, a bi-cubic interpolation can be used. The bi-cubic interpolation can be beneficial if there are a large number of similar lighting regions in the spatially variable light source, for example, 16 or more.

In the exemplary method, the intensity of light emitted from the plurality of lighting regions can be interpolated and a “gain map” of the light intensity on each location in the lighting region array can be derived. For example, the gain for the lighting region 1920 can be calculated as 2M/(1915a+1915b), and the gain for the lighting region 1940 can be calculated as 2M/(1915d+1915c). The reading of all incident light at the detector would then be multiplied with this gain map to remove the gain difference between the lighting regions. In some embodiments, the lighting region array can comprise more lighting regions which emit the same wavelength ranges, such that a more accurate representation of the gain map (e.g. 2D polynomial fit) may be derived.

Although the exemplary method is illustrated with reference to the spatially variable light source 1900 having 9 lighting regions (for example, nine LEDs or other types of limited-bandwidth light sources, each with its own wavelength range that is much smaller than the overall bandwidth of the spectrometer) as shown in FIG. 13, it is apparent that this method can be used to measure and generate an adjusted spectra with a spatially variable light source having an arbitrary array of light sources. For example, a gain factor for each lighting region can be first calculated using a bi-linear interpolation, and a reading of the incident light at the detector, which incident light being emitted from the plurality of lighting regions, can then be multiplied with this gain factor to remove the gain difference between the lighting regions. The gain factor can be normalized by an average intensity of light emitted from those similar lighting regions.

For example, in a spatially variable light source having an array of lighting regions, if four similar lighting regions are provided at four corners of the array of lighting regions with coordinates Q11=(x1, y1), Q12=(x1, y2), Q21=(x2, y1), and Q22=(x2, y2) respectively, the gain factor can be determined for a lighting region at the point (x, y) with the following processing:

1) Linear interpolation in the x-direction can be performed first. This yields:

2) Linear interpolation in the y-direction can then be performed. This yields:

In the above equations, for example, f(Q₁₁) is the measured intensity of light which is emitted from a similar lighting region having coordinates Q11=(x1, y1). The intensity f(Q₁₁) can be measured by controlling to turn on the plurality of lighting regions sequentially and separately to record the individual intensity at the detector.

The gain factor for a lighting region at the point (x, y) can be determined. This gain factor can be normalized by an average intensity M of light emitted from the similar lighting regions to eliminate the relative signal of the replicated wavelength. In this example, M=(f(Q₁₁) f(Q₁₂)+f(Q₂₁) f(Q₂₂))/4. The actually measured intensity of light emitted from the different lighting regions between the similar detector regions can then be adjusted by multiplying the corresponding normalized gain factor, such that the gain difference between the lighting regions can be removed.

In some embodiments, calibration data may be used to improve the gain estimation. For example, the differences in detected intensity of light emitted from the similar lighting regions can be used to estimate the distance between the spectrometer and the sample (for example, the gradient may decrease with increasing sample distance). Then, the sample distance estimation can be used to select a predefined gain pattern. The predefined gain pattern may be more elaborate and/or accurate than a gain pattern estimated in real time. In some cases, the similar lighting regions can be used to find first-order gradient. Higher order gradients can be estimated based on the first-order gradient data and previous knowledge on the gain distribution, for example assisted by calibration and simulations.

One or more filters known to one skilled in the art can be used in one or more embodiments described herein. One or more embodiments described herein can include one or more plasma filters. One or more embodiments described herein can include quantum dot technology.

Although the detailed description contains many specifics, these should not be construed as limiting the scope of the disclosure but merely as illustrating different examples and aspects of the present disclosure. It should be appreciated that the scope of the disclosure includes other embodiments not discussed in detail above. Various other modifications, changes and variations which will be apparent to those skilled in the art may be made in the arrangement, operation and details of the method and apparatus of the present disclosure provided herein without departing from the spirit and scope of the invention as described herein.

While preferred embodiments of the present disclosure have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will be apparent to those skilled in the art without departing from the scope of the present disclosure. It should be understood that various alternatives to the embodiments of the present disclosure described herein may be employed without departing from the scope of the present invention. Therefore, the scope of the present invention shall be defined solely by the scope of the appended claims and the equivalents thereof.

SPATIALLY VARIABLE LIGHT SOURCE AND SPATIALLY VARIABLE DETECTOR SYSTEMS AND METHODS

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