The invention relates to scanners for analysis of biological growth media to analyze bacteria or other biological agents in food samples, laboratory samples, and the like.
Biological safety is a paramount concern in modern society. Testing for biological contamination in foods or other materials has become an important, and sometimes mandatory requirement for developers and distributors of food products. Biological testing is also used to identify bacteria or other agents in laboratory samples such as blood samples taken from medical patients, laboratory samples developed for experimental purposes, and other types of biological samples. Various techniques and devices can be utilized to improve biological testing and to streamline and standardize the biological testing process.
In particular, a wide variety of biological growth media have been developed. As one example, biological growth media in the form of growth plates have been developed by 3M Company (hereafter “3M”) of St. Paul, Minn. Biological growth plates are sold by 3M under the trade name PETRIFILM plates. Biological growth plates can be utilized to facilitate the rapid growth and detection and enumeration of bacteria or other biological agents commonly associated with food contamination, including, for example, aerobic bacteria, E. coli, coliform, enterobacteriaceae, yeast, mold, Staphylococcus aureus, Listeria, Campylobacter, and the like. The use of PETRIFILM plates, or other growth media, can simplify bacterial testing of food samples.
Biological growth media can be used to identify the presence of bacteria so that corrective measures can be performed (in the case of food testing) or proper diagnosis can be made (in the case of medical use). In other applications, biological growth media may be used to rapidly grow bacteria or other biological agents in laboratory samples, e.g., for experimental purposes.
Biological growth plate scanners refer to devices used to read or count bacterial colonies, or the amount of a particular biological agent on a biological growth plate. For example, a food sample or laboratory sample can be placed on a biological growth plate, and then the plate can be inserted into an incubation chamber. After incubation, the biological growth plate can be placed into the biological growth plate scanner for automated detection and enumeration of bacterial growth. In other words, biological growth plate scanners automate the detection and enumeration of bacteria or other biological agents on a biological growth plate, and thereby improve the biological testing process by reducing human error.
In general, the invention is directed to a biological growth plate scanner. The biological growth plate scanner may include a multi-color illumination system that illuminates the biological growth plate with different illumination colors. A monochromatic image capture device captures images of the biological growth plate during illumination of the growth plate with each of the illumination colors. A processor combines the images to form a composite multi-color image, and analyzes the composite image to produce an analytical result such as a colony count.
The biological growth plate scanner may include both front and back illumination components. The front illumination component provides illumination for a front side of the biological growth plate, which is scanned by the scanner. The back illumination component provides illumination for a back side of the biological growth plate. The back illumination component may include an optical diffuser element disposed behind the biological growth plate, e.g., under the biological growth plate when the major plane of the growth plate is oriented horizontally. The diffuser element receives light from one or more laterally disposed illumination sources, and distributes the light to illuminate a back side of the biological growth plate. The illumination sources in the front and back illumination components may take the form of light emitting diodes (LEDs) that can be controlled by the processor.
In one embodiment, the invention provides a device comprising an optical diffuser element, and an illumination source oriented to direct light into the optical diffuser element, wherein the optical diffuser element directs the light toward a side of a biological growth plate.
In another embodiment, the invention provides a method comprising directing light into an optical diffuser element to illuminate a side of a biological growth plate. In an added embodiment, the invention provides a device comprising an optical diffuser element, a first illumination source oriented to direct light into the optical diffuser element, wherein the optical diffuser element directs the light toward a first side of a biological growth plate, a second illumination source oriented to direct light toward a second side of the biological growth plate, and means for scanning the second side of the biological growth plate during illumination of the first and second sides by the optical diffuser element and the second illumination source.
The invention can provide a number of advantages. For example, the use of a monochromatic camera results in resolution benefits and cost savings. In particular, a monochromatic camera offers increased spatial resolution relative to multi-color cameras and a resulting cost reduction per unit resolution. Rather than obtaining a single, multi-color image, the monochromatic camera captures multiple high resolution images, e.g., red, green and blue, and then combines them to produce a high resolution, multi-color image.
The use of different illumination colors can be achieved by independent sets of color LEDs, e.g., red, green and blue LEDs. The LEDs offer an extended lifetime relative to lamps and have inherently consistent output spectra and stable light output. A processor can control the LEDs to perform sequential illumination of the biological growth plates with different colors.
In addition, the color LEDs can be controlled independently to provide different output intensities and exposure durations. This feature is advantageous because the LEDs may exhibit different brightness characteristics, and reflector hardware or other optical components associated with the LEDs may present nonuniformities.
Also, the camera and associated lens, or different types of culture films, may exhibit different responses to the illumination colors. For example, the camera may be more or less sensitive to red, green and blue, presenting additional nonuniformities. However, the LED's can be independently controlled to compensate for such nonuniformities.
A back illumination component as described herein offers a convenient structure for effectively illuminating the back side of the biological growth plate with good uniformity while conserving space within the scanner. For example, the back illumination component may provide a diffuser element that serves to support a biological growth plate and distribute light injected into the diffuser element from laterally disposed illumination sources. In addition, the back illumination component may incorporate a set of fixed illumination sources that do not require movement during use, thereby alleviating fatigue to electrical wiring and reducing exposure to environmental contaminants.
Additional details of these and other embodiments are set forth in the accompanying drawings and the description below. Other features, objects and advantages will become apparent from the description and drawings, and from the Claims.
The invention is directed to a biological growth plate scanner for biological growth plates. A biological growth plate can be presented to the biological growth plate scanner, which then generates an image of the plate and performs an analysis of the image to detect biological growth. For example, the scanner may count or otherwise quantify an amount of biological agents that appear in the image, such as a number of bacteria colonies. In this manner, the biological growth plate scanner automates the analysis of biological growth plates.
A biological growth plate scanner, in accordance with the invention, may include a multi-color illumination system that illuminates the biological growth plate with different illumination colors. A monochromatic image capture device captures images of the biological growth plate during illumination of the growth plate with each of the illumination colors. A processor combines the images to form a composite multi-color image, and analyzes the composite image and/or individual components of the composite image to produce an analytical result such as a colony count or a presence/absence result.
In addition, the biological growth plate scanner may include both front and back illumination components. The back illumination component may include a diffuser element disposed under the biological growth plate. The optical diffuser element receives light from one or more laterally disposed illumination sources, and distributes the light to illuminate a back side of the biological growth plate. The illumination sources in the front and back illumination components may take the form of light emitting diodes (LEDs) that can be controlled by the processor. Various embodiments of a biological growth scanner will be described.
The invention may be useful with a variety of biological growth plates. For example, the invention may be useful with different plate-like devices for growing biological agents to enable detection and/or enumeration of the agents, such as thin-film culture plate devices, Petri dish culture plate devices, and the like. Therefore, the term “biological growth plate” will be used broadly herein to refer to a medium suitable for growth of biological agents to permit detection and enumeration of the agents by a scanner. In some embodiments, the biological growth plate can be housed in a cassette that supports multiple plates, e.g., as described in U.S. Pat. No. 5,573,950 to Graessle et al.
Biological growth plate scanner 10 also may include a display screen 16 to display the progress or results of analysis of the biological growth plate to a user. Alternatively or additionally, display screen 16 may present to a user an image of the growth plate scanned by biological growth plate scanner 10. The displayed image may be optically magnified or digitally scaled upward.
A mounting platform 18 defines an ejection slot 20 through which the growth plate can be ejected following analysis by biological growth plate scanner 10. Accordingly, biological growth plate scanner 10 may have a two-part design in which scanner unit 12 is mounted on mounting platform 18. The two-part design is depicted in
Scanner unit 12 houses an imaging device for scanning the biological growth plate and generating an image. The imaging device may take the form of a monochromatic line scanner or an area scanner, in combination with a multi-color illumination system to provide front and back illumination to the biological growth plate. In addition, scanner unit 12 may house processing hardware that performs analysis of the scanned image, e.g., in order to determine the number or amount of biological agents in the growth plate. For example, upon presentation of the biological growth plate via drawer 14, the plate may be positioned adjacent an optical platen for scanning.
When drawer 14 is subsequently opened, the growth plate may drop downward into the mounting platform 18 for ejection via ejection slot 20. To that end, mounting platform 18 may house a conveyor that ejects the growth plate from biological growth plate scanner 10 via ejection slot 20. After a biological growth plate is inserted into drawer 14, moved into scanner unit 12, and scanned, the biological growth plate drops downward into mounting platform 18, where a horizontal conveyor, such as a moving belt, ejects the plate via slot 20.
Plate type indicator 28 presents an encoded pattern that is machine-readable. In the example of
A wide variety of optical patterns such as characters, bar codes, two-dimensional bar codes, optical gratings, holograms and the like are conceivable. In addition, in some embodiments, plate type indicator 28 may take the form of patterns that are readable by magnetic or radio frequency techniques. Alternatively, plate type indicator 28 may take the form of apertures, slots, surface contours, or the like that are readable by optical or mechanical techniques. In each case, plate type indicator 28 carries information sufficient to enable automated identification of the type of biological growth plate 22 by biological growth plate scanner 10.
Biological growth plates may facilitate the rapid growth and detection and enumeration of bacteria or other biological agents including, for example, aerobic bacteria, E. coli, coliform, enterobacteriaceae, yeast, mold, Staphylococcus aureus, Listeria, Campylobacter and the like. The use of PETRIFILM plates, or other growth media, can simplify bacterial testing of food samples. Moreover, biological growth plate scanner 10 can further simplify such testing by providing automated plate type detection, and automated selection of image processing profiles based on the detected plate type to analyze biological growth plate 22, e.g., by counting bacterial colonies on an image of the plate.
As shown in
After placing a sample of the material being tested, typically in liquid form, on the surface of biological growth plate 22 within growth area 26, plate 22 can be inserted into an incubation chamber (not shown). In the incubation chamber, bacterial colonies or other biological agents being grown by growth plate 22 manifest themselves, as shown in biological growth plate 22 of
In general, imaging device 32 captures images of biological growth plate 22, or at least a growth region within the biological growth plate, during illumination of the biological growth plate with one or more different illumination colors. In some embodiments, illumination durations and illumination intensities may be controlled according to requirements of different biological growth plates. In addition, selective illumination of a first side and a second side of the biological growth plate can be controlled according to requirements of different biological growth plates.
A processor 34 controls the operation of imaging device 32. In operation, processor 34 controls imaging device 32 to illuminate biological growth plate 22 with different illumination colors, and capture images of biological growth plate 22. Processor 34 receives image data representing the scanned images from imaging device 32 during illumination with each of the different illumination colors, and combines the images to form a multi-color composite image. Processor 34 analyzes the composite image of biological growth plate 22 and analyzes the image to produce an analytical result, such as a colony count or a presence/absence result.
In some embodiments, processor 34 may extract or segregate a portion of the image to isolate plate type indicator 28. Using machine vision techniques, for example, processor 34 may analyze plate type indicator 28 to identify a plate type associated with biological growth plate 22. Processor 34 then retrieves an image processing profile from image processing profile memory 36. The image processing profile corresponds to the detected plate type. Processor 34 may take the form of a microprocessor, digital signal processor, application specific integrated circuit (ASIC), field programmable gate array (FPGA) or other integrated or discrete logic circuitry programmed or otherwise configured to provide functionality as described herein.
Using the image processing profile, processor 34 loads appropriate image processing parameters and proceeds to process the scanned image of biological growth plate 22. In this manner, processor 34 forms an image processing device in the sense that it processes the image data obtained from biological growth plate 22. The image processing parameters may vary with the image processing profile and detected plate type, and may specify particular imager analysis conditions, including parameters such as color, size, shape and proximity criteria for analysis of the scanned image. The criteria may differ according to the type of plate 22 to be analyzed, and may significantly affect colony count or other analytical results produced by biological growth plate scanner 10. The image processing profile also may specify image capture conditions such as illumination colors, intensities, and durations suitable for a particular type of biological growth plate. Suitable techniques for plate type identification and use of image processing profiles are further described in U.S. Pat. No. 7,298,885 entitled “BIOLOGICAL GROWTH PLATE SCANNER WITH AUTOMATED IMAGE PROCESSING PROFILE SELECTION,” the entire content of which is incorporated herein by reference.
Upon selection of the appropriate image processing parameters, processor 34 processes the scanned image and produces an analytical result, such as a colony count or a presence/absence result, which is presented to a user via display 16. Processor 34 also may store the analytical result in memory, such as count data memory 38, for later retrieval from scanner 10. The data stored in count data memory 38 may be retrieved, for example, by a host computer that communicates with biological growth plate scanner 10 via a communication port 40, e.g., a universal serial bus (USB) port. The host computer may compile analytical results for a series of biological growth plates 22 presented to biological growth plate scanner 10 for analysis.
Automated selection of image processing profiles within biological growth plate scanner 10 can provide a convenient and accurate technique for selecting the appropriate image processing profile. Automated selection of image processing profiles can promote the accuracy of bacterial colony counts and other analytical procedures. In particular, automatic image processing profile selection can avoid the need for a technician to visually identify and manually enter the plate type. In this manner, plate identification errors sometimes associated with human intervention can be avoided. Consequently, the combination of a scanner 10 and a biological growth plate 22 that carries plate type indicator 28 can promote efficiency and workflow of laboratory technicians while enhancing analytical accuracy and, in the end, food safety and human health.
For example, processor 34 may provide coordinated control of illumination systems 44, 46 and camera 42 to capture multiple images of biological growth plate 22. Processor 34 then combines the multiple images to form a multi-color, composite image. Using the multi-color, composite image, and/or individual components of the composite image, processor 34 analyzes biological growth plate 22 to produce an analytical result such as a detection or colony count. In one embodiment, front and back illumination systems 44, 46 may expose biological growth plate 22 to red, green and/or blue illumination colors on a selective basis under control of processor 34. In this example, camera 42 captures red, green and blue images of biological growth plate 22. Processor 34 then combines the red, green and blue images to form the multi-color, composite image for analysis.
As an illustration, processor 34 may first activate red illumination sources within front and back illumination components 44, 46 to expose biological growth plate 22 to red illumination. In particular, processor 34 may control the intensity and exposure duration of the red illumination sources. In synchronization with the red illumination exposure, camera 42 captures a red image of biological growth plate 22 and stores the captured image in an image memory 47 within scanner 10.
Processor 34 then activates green illumination sources within front and back illumination components 44, 46 to expose biological growth plate 22 to green illumination, followed by capture of a green image by camera 42. Similarly, processor activates blue illumination sources within front and back illumination components 44, 46 to expose biological growth plate 22 to blue illumination, followed by capture of a blue image by camera 42.
Camera 42 captures monochromatic images for each of the red, green and blue illumination exposures, and may store the images in separate files. Using the files, processor 34 combines the captured images to form the composite image for analysis. The order in which biological growth plate 22 is exposed to the multiple illumination colors may vary. Therefore, exposure to red, green and blue illumination sources in sequence should not be considered limiting of the invention.
The individual images captured by camera 42 may be represented in terms of optical intensity or optical density. In other words, camera 42 captures gray scale data that can be used to quantify the reflected output of biological growth plate 22 for each exposure channel, e.g., red, green and blue. The use of a monochromatic camera 42 to capture the individual images can result in image resolution benefits and cost savings. In particular, a less expensive monochromatic camera 42 may offer increased spatial resolution relative to multi-color cameras that capture red, green and blue spectra simultaneously. Accordingly, camera 42 can obtain high resolution imagery needed for effective analysis of biological growth plate 22 with reduced cost. Rather than obtain a single, multi-color image monochromatic camera 42 captures multiple high resolution images, e.g., red, green and blue, and then processor 34 combines them to produce a high resolution, multi-color image.
The different illumination sources within front and back illumination systems 44, 46 may take the form of LEDs. In particular, the different illumination colors can be achieved by independent sets of color LEDs, e.g., red, green and blue LEDs. As an advantage, LEDs offer an extended lifetime relative to other illumination sources such as lamps. LEDs also may provide inherently consistent output spectra and stable light output.
Also, processor 34 can readily control the output intensities and exposure durations of the LEDs to perform sequential illumination of the biological growth plates 22 with appropriate levels of illumination. Processor 34 can be programmed to control the different sets of color LEDs independently to provide different output intensities and exposure durations for each illumination color applied to biological growth plate 22.
This ability to independently control the LEDs via processor 34 can be advantageous because the LEDs may exhibit different brightness characteristics, and reflector hardware or other optical components associated with the LEDs may present nonuniformities. In addition, camera 42 and one or more associated camera lenses may exhibit different responses to the illumination colors. For example, camera 42 may be more or less sensitive to red, green and blue, presenting additional nonuniformities in the color response for a given illumination channel.
Processor 34 can independently control the LEDs, however, in order to compensate for such nonuniformities. For example, scanner 10 may be calibrated at the factory or in the field to characterize the response of camera 42 to the different illumination sources, and then compensate the response by storing appropriate drive values to be applied by processor 34. Hence, processor 34 may apply different drive values to the LEDs for different illumination colors and intensity levels to produce a desired degree of uniformity in the images captured by camera 42.
In some embodiments, scanner 10 may process images of different biological growth plates 22 according to different image processing profiles. The image processing profiles may be selected by processor 34 based on user input or identification of the type of biological growth plate 22 presented to scanner 10. The image processing profile may specify particular image capture conditions, such as illumination intensities, exposure durations, and colors, for capturing images of particular plate types. Thus, the scanner may apply different image capture conditions, including different illumination conditions, in processing images of different biological growth plates 22.
As an illustration, some types of biological growth plates 22 may require illumination with a particular color, intensity and duration. In addition, some biological growth plates 22 may require only front or back illumination, but not both. For example, an aerobic count plate may require only front illumination as well as illumination by only a single color such as red. Alternatively, an E. coli/Coliform plate may require only back illumination and a combination of red and blue illumination. Similarly, particular intensity levels and durations may be appropriate. For these reasons, processor 34 may control illumination in response to image capture conditions specified by an image processing profile.
A number of components may be housed within front illumination component 44. For example, front illumination component 44 may include one or more illumination sources 60A, 60B, preferably arranged in linear arrays about a periphery of growth area 26 of biological growth plate 22. In particular, a linear array of red, green and blue illumination sources 60A, 60B may extend along each of four edges of biological growth plate 22, e.g., in a square pattern. In other embodiments, the illumination sources may be arranged in alternative patterns, e.g., circular patterns. Again, illumination sources 60A, 60B may take the form of LEDs and may be arranged in groups of one red, one green and one blue LED.
Illumination sources 60A, 60B may be mounted within illumination chambers 62A, 62B. Reflective cowels 64A, 64B are mounted about illumination sources 60A, 60B and serve to reflect and concentrate the light emitted by the illumination sources toward inwardly extending walls 66A, 66B of chambers 62A, 62B. The reflective material may be coated, deposited, or adhesively affixed to an interior surface of reflective cowels 64A, 64B. An example of a suitable reflective material for reflective cowels 64A, 64B is the 3M Radiant Mirror Reflector VM2000 commercially available from 3M Company of St. Paul, Minn.
Walls 66A, 66B may carry an optical diffusing material, such as a film 68A, 68B, that serves to diffuse light received from illumination sources 60A, 60B. The diffuse light is transmitted into an interior chamber of front illumination component 44 to illuminate growth region 26 of biological growth plate 22. An example of a suitable diffusing material for diffusing film 68A, 68B is the Mitsui WS-180A diffuse white film, commercially available from Mitsui & Co., Inc., of New York, N.Y. The diffusing film 68A, 66B may be coated or adhesively affixed to an interior surface of walls 66A, 66B.
Illumination sources 60 may include an array of illumination elements grouped together, e.g., in groups of three. In particular, each illumination source 60 may include a red LED, a green LED, and a blue LED that can be separately activated to illuminate biological growth plate 22. Upon activation of the individual LEDs, an inner chamber defined by front illumination component 44 is filled with diffused light to provide front illumination to biological growth plate 22. Camera 42 captures an image of biological growth plate 22 during successive exposure cycles with each of the different illumination colors.
Once loaded, biological growth plate 22 can be supported by optical diffuser element 74 or, alternatively, supported by a transparent platform in close proximity to the optical diffuser element. Optical diffuser element 74 serves to diffuse light that is laterally injected into the diffuser element and radiate the light upward to provide back side illumination of biological growth plate 22. Back illumination component 46 effectively illuminates the back side of biological growth plate 22 with good uniformity while conserving space within scanner 10.
In addition, back illumination component 46 incorporates a set of fixed illumination sources 76A, 76B that do not require movement during use, thereby alleviating fatigue to electrical wiring and reducing exposure to environmental contaminants. Rather, biological growth plate 22 and diffuser element 74 are elevated into position in alignment with the fixed illumination sources 76A, 76B. In summary, back illumination component 46 offers good illumination uniformity across the surface of biological growth plate 22, a flat illumination surface, a fixed arrangement of illumination sources 76A, 76B, and an efficient size and volume for space conservation.
Illumination sources 76A, 76B are positioned adjacent a lateral edge of diffuser element 74, when the diffuser element occupies the elevated, scanning position. Each illumination source 76A, 76B may include a reflector cowl 78A, 78B to reflect and concentrate light emitted by the illumination sources toward respective edges of diffuser element 74. In this manner, illumination sources 76A, 76B inject light into optical diffuser element 74. The reflective material may be coated, deposited, or adhesively affixed to an interior surface of reflective cowels 78A, 78B. An example of a suitable reflective material for reflective cowels 78A, 78B is the 3M Radiant Mirror Reflector VM2000 commercially available from 3M Company of St. Paul, Minn.
A platen support 80A, 80B may be provided to support an optical platen 58 (
A back side of diffuser element 74 may be defined by a reflective film 88 that promotes inner reflection of light received from illumination sources 76A, 76B, i.e., reflection of light into an interior chamber defined by diffuser element. In this manner, the light does exit the back region of diffuser element 74, but rather is reflected inward and upward toward biological growth plate 22. Reflective film 88 may be coated, deposited, or adhesively bonded to a wall defined by diffuser element 74. Alternatively, reflective film 88 may be free-standing and define the back wall of diffuser element 74. An example of a suitable material for reflective film 88 is 3M Radiant Mirror Film, 2000F1A6, commercially available from 3M Company of St. Paul, Minn.
A front side of diffuser element 74, adjacent biological growth plate 22, may carry an optical diffusing material such as an optical light guide and diffusing film 86. Diffuser element 74 may define an internal chamber between reflective film 88, optical light guide and diffusing film 86, and respective light transmissive layers 89A, 89B forming side walls adjacent illumination sources 76A, 76B. As will be described, opposing side walls of optical diffuser element 74 on sides not adjacent illumination sources 76A, 76B may be formed by reflective layers to promote internal reflection of light injected into the diffuser element.
The internal chamber defined by optical diffuser element 74 may simply be empty and filled with air. Optical light guide and diffusing film 86 serves to diffuse light emitted from diffuser element 74 toward biological growth plate 22. An example of a suitable optical light guide and diffusing film is 3M Optical Lighting Film, printed with a pattern of diffuse white dots having 30% area coverage, with prism orientation facing down toward the diffuser element. In particular, the prisms of optical light guide and diffusing film 86 face into diffuser element 74 and the orientation of the prisms is generally perpendicular to illumination sources 76A, 76B. The 3M Optical Lighting Film is commercially available from 3M Company of St. Paul, Minn.
In addition, diffuser element 74 may include a scratch-resistant, light transmissive layer 87 over optical light guide and diffusing film 86. Biological growth plate 22 may be placed in contact with scratch-resistant layer 87. Additional scratch-resistant, light transmissive layers 89A, 89B may be disposed adjacent the lateral edges of diffuser element 74. In particular, layers 89A, 89B may be disposed between illumination sources 76A, 76B and diffuser element 74.
Scratch-resistant, light transmissive layers 89A, 89B are placed over light entry slots at opposite sides of diffuser element 74 to permit transmission of light from illumination sources 76A, 76B into the diffuser element, and also provide a durable surface for upward and downward sliding movement of the diffuser element. An example of a suitable scratch-resistant, light transmissive material for use as any of layers 87, 89A, 89B resides in the class of acrylic glass-like materials, sometimes referred to as acrylglass or acrylplate. Alternatively, layers 87, 89A, 89B may be formed by glass.
An acrylic or glass plate as layer 87 can be used to provide a stable, cleanable platform for the biological growth plate, and protect diffuser element 74 from damage. An approximately 1 mm gap may be provided between layer 87 and light guide and diffusing film 86 to preserve the optical performance of the light guide and diffusing film, which could be altered by contact with materials other than air.
Upon elevation into scanning position, illumination sources 76A, 76B inject light into diffuser element 74, which diffuses the light and directs it upward to provide back illumination for biological growth plate 22. As will be described, illumination sources 76A, 76B may incorporate differently colored illumination elements that are selectively activated to permit camera 42 to separate monochromatic images for each color, e.g., red, green and blue.
As further shown in
As shown in
Advantageously, processor 34 may access particular sets of digital output values to produce a desired output intensity for LEDs 94A-94H, 96A-96H, 98A-98H. For example, the digital output values can be determined upon factory or field calibration of scanner 10 in order to enhance the uniformity of the illumination provided by the various LEDs 94A-94H, 96A-96H, 98A-98H. Again, the red, green and blue LEDs may be characterized by different output intensities and responses, and associated reflector and optics hardware may present nonuniformities, making independent control by processor 34 desirable in some applications.
Also, the digital output values may be determined based on the requirements of different biological growth plates 22, i.e., to control the intensity and duration of illumination applied to the growth plates. Accordingly, processor 34 may selectively generate different output values for different durations, enable different sets of LEDs 94-94H, 96A-96H, 98A-98H, and selectively enable either front illumination, back illumination or both, based on the particular types of biological growth plates 22 presented to scanner 10.
The anodes of all LEDs 94A-94H, 96A-96H, 98A-98H are coupled to the respective outputs of drive amplifiers 92A-92H for simultaneous activation of selected LEDs. To permit selective activation of LEDs for particular illumination colors, the cathodes of LEDs 94A-94H (Red) are coupled in common to a switch, e.g., to the collector of a bipolar junction transistor 100A with an emitter coupled to a ground potential. Similarly, the cathodes of LEDs 96A-96H (Green) are coupled in common to the collector of a bipolar junction transistor 100B, and the cathodes of LEDs 98A-98H (Blue) are coupled in common to the collector of a bipolar junction transistor 100C.
Processor 34 drives the base of each bipolar transistor 100A-100C with a RED ENABLE, GREEN ENABLE or BLUE ENABLE signal. In operation, to expose biological growth plate to red illumination, processor 34 selects digital values for the red LEDs 94A-94H, and applies the digital values to DACs 91A-91H, which produce analog drive signals for amplification by buffer amplifiers 92A-92H. In synchronization with application of the digital values for the red LEDs 94A-94H, processor 34 also activates the RED ENABLE line to bias transistor 100A “on,” and thereby pull the anodes of red LEDs 94A-94H to ground.
Using the ENABLE lines, processor 34 can selectively activate red LEDs 94A-94H to expose biological growth plate 22 to red illumination. Simultaneously, processor 34 controls camera 42 to capture a red image of biological growth plate 22. To capture green and blue images, processor 34 generates appropriate digital drive values and activates the GREEN ENABLE and BLUE ENABLE lines, respectively. As an advantage, the ENABLE lines can be used to independently control the exposure durations of the illumination colors. For example, it may be desirable to expose biological growth plate 22 to different durations of red, green and blue illumination.
Next, processor 34 outputs digital values to drive the green illumination LEDs 96A-96H (124), and activates the front and back green illumination LEDs with the GREEN ENABLE line (126) to illuminate biological growth plate 22. Camera 42 then captures an image of biological growth plate 22 during illumination by the green LEDs 96A-96H (128). Processor 34 then outputs digital value to drive the blue illumination LEDS 98A-98H (130), and activates the blue illumination LEDs with the BLUE ENABLE line (132).
After the blue image is captured by camera 42 (134), processor 34 combines the red, green and blue images to form a composite red-green-blue image (136). Processor 34 then processes the composite red-green-blue image (138) and/or individual components of the composite image to generate a colony count (140). Again, in some embodiments, processor 34 may process the individual red-green-blue images prior to combining the red, green and blue images to form a composite image. Again, the red-green-blue order of illumination and capture is described herein for purposes of example. Accordingly, biological growth plate 22 may be illuminated and scanned in a different order.
In operation, processor 34 executes instructions that may be stored on a computer-readable medium to carry out the processes described herein. The computer-readable medium may comprise random access memory (RAM) such as synchronous dynamic random access memory (SDRAM), read-only memory (ROM), non-volatile random access memory (NVRAM), electrically erasable programmable read-only memory (EEPROM), FLASH memory, magnetic or optical data storage media, and the like.
Various modifications may be made without departing from the spirit and scope of the invention. For example, it is conceivable that some of the features and principles described herein may be applied to line scanners as well as area scanners. These and other embodiments are within the scope of the following claims.
This application is a division of U.S. application Ser. No. 10/306/663, filed Nov. 27, 2002, now abandoned, the disclosure of which is incorporated by reference in its entirety herein.
Number | Name | Date | Kind |
---|---|---|---|
3493772 | Daughters, II et al. | Feb 1970 | A |
3745090 | Chappelle et al. | Jul 1973 | A |
3811036 | Perry | May 1974 | A |
3962040 | Campbell et al. | Jun 1976 | A |
4118280 | Charles et al. | Oct 1978 | A |
4146775 | Kirchner et al. | Mar 1979 | A |
4160601 | Jacobs | Jul 1979 | A |
4353988 | Couse et al. | Oct 1982 | A |
4563096 | Chidlow et al. | Jan 1986 | A |
4591567 | Britten et al. | May 1986 | A |
4637053 | Schalkowsky | Jan 1987 | A |
4672598 | Koken et al. | Jun 1987 | A |
4720463 | Farber et al. | Jan 1988 | A |
4724215 | Farber et al. | Feb 1988 | A |
4817785 | Farber et al. | Apr 1989 | A |
4856073 | Farber et al. | Aug 1989 | A |
5099521 | Kosaka | Mar 1992 | A |
5117467 | Misaki et al. | May 1992 | A |
5202010 | Guzman | Apr 1993 | A |
5268966 | Kasdan | Dec 1993 | A |
5270173 | Yonemori et al. | Dec 1993 | A |
5290701 | Wilkins | Mar 1994 | A |
5329686 | Kildal et al. | Jul 1994 | A |
5364766 | Mach et al. | Nov 1994 | A |
5366873 | Eden et al. | Nov 1994 | A |
5372485 | Sumser et al. | Dec 1994 | A |
5372936 | Fraatz et al. | Dec 1994 | A |
5375043 | Tokunaga | Dec 1994 | A |
5403722 | Floeder et al. | Apr 1995 | A |
5428690 | Bacus et al. | Jun 1995 | A |
5448652 | Vaidyanathan et al. | Sep 1995 | A |
5491567 | Morikawa et al. | Feb 1996 | A |
5510246 | Morgan | Apr 1996 | A |
5539517 | Cabib et al. | Jul 1996 | A |
5573950 | Graessle et al. | Nov 1996 | A |
5591974 | Troyer et al. | Jan 1997 | A |
5671290 | Vaidyanathan | Sep 1997 | A |
5694478 | Braier et al. | Dec 1997 | A |
5721435 | Troll | Feb 1998 | A |
5723308 | Mach et al. | Mar 1998 | A |
5744322 | Krejcarek et al. | Apr 1998 | A |
5747333 | Jungmann-Campello et al. | May 1998 | A |
5781311 | Inoue et al. | Jul 1998 | A |
5787189 | Lee et al. | Jul 1998 | A |
5817475 | Gibbs et al. | Oct 1998 | A |
5817508 | Berndt | Oct 1998 | A |
5956158 | Pinzarrone et al. | Sep 1999 | A |
5995645 | Soenksen et al. | Nov 1999 | A |
6002789 | Olsztyn et al. | Dec 1999 | A |
6058209 | Vaidyanathan et al. | May 2000 | A |
6063590 | Brenner et al. | May 2000 | A |
6096272 | Clark et al. | Aug 2000 | A |
6107054 | Gibbs | Aug 2000 | A |
6134354 | Lee et al. | Oct 2000 | A |
6189839 | Lemieux | Feb 2001 | B1 |
6238076 | Pascale et al. | May 2001 | B1 |
6238879 | Gibbs | May 2001 | B1 |
6243486 | Weiss | Jun 2001 | B1 |
6252979 | Lee et al. | Jun 2001 | B1 |
6271022 | Bochner | Aug 2001 | B1 |
6319668 | Nova et al. | Nov 2001 | B1 |
6372485 | Clark et al. | Apr 2002 | B1 |
6375335 | Tabata et al. | Apr 2002 | B1 |
6381353 | Weiss | Apr 2002 | B1 |
6418180 | Weiss | Jul 2002 | B1 |
6459994 | Parekh et al. | Oct 2002 | B1 |
6485979 | Kippenhan et al. | Nov 2002 | B1 |
6488890 | Kirckof | Dec 2002 | B1 |
6583791 | Berryman et al. | Jun 2003 | B2 |
6623142 | Lippmann et al. | Sep 2003 | B1 |
6642953 | Velasco et al. | Nov 2003 | B1 |
6673315 | Sheridan et al. | Jan 2004 | B2 |
6685327 | Dörrie | Feb 2004 | B2 |
6690470 | Baer et al. | Feb 2004 | B1 |
6711283 | Soenksen | Mar 2004 | B1 |
6716588 | Sammak et al. | Apr 2004 | B2 |
6737266 | Wicks et al. | May 2004 | B1 |
6999607 | Kiros et al. | Feb 2006 | B2 |
7057721 | Gardiner, Jr. et al. | Jun 2006 | B2 |
7106889 | Mahers et al. | Sep 2006 | B1 |
7298885 | Green et al. | Nov 2007 | B2 |
7298886 | Plumb et al. | Nov 2007 | B2 |
7319031 | Vent et al. | Jan 2008 | B2 |
7351574 | Vent | Apr 2008 | B2 |
7496225 | Graessle et al. | Feb 2009 | B2 |
7738689 | Plumb et al. | Jun 2010 | B2 |
7865008 | Graessle et al. | Jan 2011 | B2 |
7901933 | Green et al. | Mar 2011 | B2 |
7957575 | Plumb et al. | Jun 2011 | B2 |
20010028497 | Uhl | Oct 2001 | A1 |
20010031502 | Watson, Jr. et al. | Oct 2001 | A1 |
20010039032 | Matsumura et al. | Nov 2001 | A1 |
20010041347 | Sammak et al. | Nov 2001 | A1 |
20020025082 | Kaushikkar et al. | Feb 2002 | A1 |
20020064867 | Clark et al. | May 2002 | A1 |
20020081014 | Ravkin | Jun 2002 | A1 |
20020137091 | Luttermann et al. | Sep 2002 | A1 |
20020159002 | Chang | Oct 2002 | A1 |
20020167161 | Butland | Nov 2002 | A1 |
20020191825 | Parekh et al. | Dec 2002 | A1 |
20030016406 | Hoshino et al. | Jan 2003 | A1 |
20040032659 | Drinkwater | Feb 2004 | A1 |
20040071342 | Locht et al. | Apr 2004 | A1 |
20040101189 | Green et al. | May 2004 | A1 |
20040101951 | Vent et al. | May 2004 | A1 |
20040101952 | Vent | May 2004 | A1 |
20040101954 | Graessle et al. | May 2004 | A1 |
20040102903 | Graessle et al. | May 2004 | A1 |
20050053265 | Graessle et al. | Mar 2005 | A1 |
20050053266 | Plumb et al. | Mar 2005 | A1 |
20050095665 | Williams et al. | May 2005 | A1 |
20050222778 | Levinson et al. | Oct 2005 | A1 |
20060263258 | Harris et al. | Nov 2006 | A1 |
20080003562 | Plumb et al. | Jan 2008 | A1 |
20100232660 | Graessle et al. | Sep 2010 | A1 |
20100266192 | Plumb et al. | Oct 2010 | A1 |
20100330610 | Green et al. | Dec 2010 | A1 |
Number | Date | Country |
---|---|---|
19819144 | Apr 1998 | DE |
198 45 883 | May 1999 | DE |
0 008 826 | Mar 1980 | EP |
0 088 601 | Sep 1983 | EP |
0 301 600 | Jan 1989 | EP |
0 397 256 | Nov 1990 | EP |
0 397 256 | Nov 1990 | EP |
0 429 030 | May 1991 | EP |
0 429 030 | May 1991 | EP |
0 193 385 | Jul 1992 | EP |
0 547 709 | Jun 1993 | EP |
0 547 709 | Jun 1993 | EP |
0 625 569 | Nov 1994 | EP |
0 819 930 | Jan 1998 | EP |
1 047 610 | Feb 2001 | EP |
0 895 086 | Nov 2004 | EP |
2 249 829 | May 1992 | GB |
60-83597 | May 1985 | JP |
62-215383 | Sep 1987 | JP |
5-249105 | Sep 1993 | JP |
6-98220 | Apr 1994 | JP |
6-109545 | Apr 1994 | JP |
7-275200 | Oct 1995 | JP |
10-24283 | Jan 1998 | JP |
10-500302 | Jan 1998 | JP |
11-500648 | Jan 1999 | JP |
2000-270840 | Oct 2000 | JP |
2001242082 | Jul 2001 | JP |
2002-538440 | Nov 2002 | JP |
WO 9106911 | May 1991 | WO |
WO 9212233 | Jul 1992 | WO |
WO 9401528 | Jan 1994 | WO |
WO 9426926 | Nov 1994 | WO |
WO 9516768 | Jun 1995 | WO |
WO9531732 | Nov 1995 | WO |
WO9618167 | Jun 1996 | WO |
WO 9618721 | Jun 1996 | WO |
WO 9715229 | May 1997 | WO |
WO 9853301 | Nov 1998 | WO |
WO 9859314 | Dec 1998 | WO |
WO 9902645 | Jan 1999 | WO |
WO 9928436 | Jun 1999 | WO |
WO 9942900 | Aug 1999 | WO |
WO 9945385 | Sep 1999 | WO |
WO 0032807 | Jun 2000 | WO |
WO 0049129 | Aug 2000 | WO |
WO 0049130 | Aug 2000 | WO |
WO 0051058 | Aug 2000 | WO |
WO 0065094 | Nov 2000 | WO |
WO 0104828 | Jan 2001 | WO |
WO 0109371 | Feb 2001 | WO |
WO0138559 | May 2001 | WO |
WO 0183673 | Nov 2001 | WO |
WO 0290966 | Jan 2002 | WO |
WO0237938 | May 2002 | WO |
WO0238724 | May 2002 | WO |
WO 0246354 | Jun 2002 | WO |
WO 02066961 | Aug 2002 | WO |
WO 03014400 | Feb 2003 | WO |
WO 03038413 | May 2003 | WO |
Entry |
---|
Kalasinsky, Kathryn S. et al.; “Raman Chemical Imaging Spectroscopy Reagentless Detection and Identification of Pathogens: Signature Development and Evaluation”; Analytical Chemistry; 2007; 79 (7) pp. 2658-2673. |
Decision on Appeal dated Dec. 2, 2008 in U.S. Appl. No. 10/306,663, filed Nov. 27, 2002 (18 pgs.). |
Product brochure entitled “Powerful data handling for GLP conformance” by ProtoCOL, Synbiosis, a division of Synoptic Ltd, Cambridge, UK (4 pgs.). |
Product brochure entitled “Efficient Batch Handling” by ProtoZONE, Synbiosis, a division of Synoptic Ltd., Cambridge, UK (4 pgs.). |
Product brochure entitled “Petrifilm™ Information Management System—Reduce Operational Costs and Increase Productivity”; 3M Microbiology Products; 1999; 70-2009-1996-0; (3 pgs.). |
Corkidi et al.; “COVASIAM: an image Analysis Method That Allows Detection of Confluent Microbial Colonies and Colonies of Various Sizes for Automated Counting”, Applied and Environmental microbiology, vol. 64, No. 4, Apr. 1998, pp. 1400-1404. |
Ilya et al.; “Streamlines Yeast Colorimetric Reporter Activity Assays Using Scanners and Plate Readers”, BioTechniques, vol. 29, No. 2, Aug. 2000. |
K. M. Wright et al., “Determination of Mean Growth Parameters of Bacterial Colonies Immobilized in Gelatin Gel Using a Laser Gel-Cassette Scanner”, International Journal of Food Microbiology, 2000, pp. 75-89. |
Gilchrist et al., “Spiral Plate Method for Bacterial Determination”, Applied Microbiology, Feb. 1973, vol. 25, No. 2, pp. 244-252. |
Marotz, J. et al.; “Effective object recognition for automated counting of colonies in Petri dishes (automated colony counting)”; Computer Methods and Programs in Biomedicine; vol. 66; 2001; pp. 183-198. |
Glaser, D.; “An automated system for growth and analysis of bacterial colonies”; Published in UCLA Forum in medical sciences; No. 9; 1968; pp. 57-60. |
Sharpe, A.N. et al.; “Towards the truly automated colony counter”; Food Microbiology; No. 3; 1986; pp. 161-184. |
Wilson, I.G.; “Use of the IUL Countermat Automatic Colony Counter for Spiral Plated Total Viable Counts”; Applied and Environmental Microbiology; vol. 61, No. 8; 1995; pp. 3158-3160. |
Synoptics Ltd. “ProtoCOL” Product range—Desscribed in pages retrieved from internet archive with dates Jun.-Aug. 2002 (18 pgs.). |
Synoptics Ltd. “Protos” product described in Rapid Food Analysis and Hygiene Monitoring: Kits, Instruments, and Systems, Pierre-Jean Raugel—Springer; 1999; 921 pages; pp. 582-584. |
Number | Date | Country | |
---|---|---|---|
20090135603 A1 | May 2009 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 10306663 | Nov 2002 | US |
Child | 12364152 | US |