Not applicable.
Various exemplary details are described with reference to the following figures, wherein:
The system described herein is a particle manipulation system which may make use of microchannel architecture of a MEMS particle manipulation system, such as those disclosed in the aforementioned patents. More generally, the systems and methods describe a particle manipulation system with multiple laser interrogation regions, which form a particle manipulation system with cytometric capability. A feedback loop may be implemented to monitor and/or control parameters that determine the performance of the particle manipulation system. Laser interrogation regions may provide information as to the effectiveness or accuracy of the particle manipulations, allowing the manipulations to be adjusted or controlled during the process in the aforementioned feedback loops.
In the figures discussed below, similar reference numbers are intended to refer to similar structures, and the structures are illustrated at various levels of detail to give a clear view of the important features of this novel device.
In one exemplary embodiment, the MEMS device may apply a charge to the target particle. In another exemplary embodiment discussed further below, the manipulation stage 4 may be an actuator, which diverts the target particle into a different flow path as the non-target particles.
For example, manipulation stage 4 may apply a charge to a passing particle. Laser interrogation stage 2 may confirm the presence of both the charge and the fluorescent tag by measuring the voltage on a parallel plate capacitor (not shown) installed in the channel 2. By so doing, the coincidence of both the fluorescence and the voltage signal is evidence that the charge is correctly place on tagged particles. In the case of a particle or cell sorter, the presence of the target sorted particle in the sort passage where the additional laser interrogation stage 201 is placed, may indicate correct and effective sorting.
As shown in
The MEMS actuator may divert the incoming fluid stream into one of the plurality of exit channels, for example into either channel 2 or channel 3. For example, if a signal from laser interrogation region 101 indicates that a target particle is present, the logic circuit coupled to laser interrogation region 101 may send a signal to the MEMS actuator 4 to activate the flap. Drawing down the flap will divert the detected target particle into the sort channel 2 rather than allowing it to flow past into waste channel 3.
As mentioned previously, waste channel 3 may also be equipped with an additional laser interrogation region 301. This arrangement is shown in
Thus, as can be seen from the figures above, the additional laser interrogation regions 201 and 301 (or more) may act as a cytometer or as a quality control measure. The system 10 may give feedback as to the correct setting of any adjustable parameters in the sorting algorithm. Such parameters may include, for example, fluorescent pulse shape, width, magnitude or duration, laser intensity, optical alignment or focusing. These parameters may then be adjusted during the sort, rather than waiting for the entire sample to be processed before finding a problem in the sorting. The presence of additional laser interrogation regions 201 and/or 301 may provide cytometer capability to the sorter, in that it is able to count, enumerate, or quantify the density or purity of the sorted sample, while the sorting process is underway. This capability may allow the sort process to be adjusted in real time, that is, while it is underway. This may allow an optimization of sort parameters without performing multiple sorting operations on a sample, thus saving time and sample volume.
Also shown in
A magnetically permeable material should be understood to mean any material which is capable of supporting the formation of a magnetic field within itself. In other words, the permeability of a material is the degree of magnetization that the material obtains in response to an applied magnetic field.
The terms “permeable material” or “material with high magnetic permeability” as used herein should be understood to be a material with a permeability which is large compared to the permeability of air or vacuum. That is, a permeable material or material with high magnetic permeability is a material with a relative permeability (compared to air or vacuum) of at least about 100, that is, 100 times the permeability of air or vacuum which is about 1.26x10-6 H·m-1. There are many examples of permeable materials, including chromium (Cr), cobalt (Co), nickel (Ni) and iron (Fe) alloys. One popular permeable material is known as Permalloy, which has a composition of between about 60% and about 90% Ni and 40% and 10% iron. The most common composition is 80% Ni and 20% Fe, which has a relative permeability of about 8,000.
It is well known from magnetostatics that permeable materials are drawn into areas wherein the lines of magnetic flux are concentrated, in order to lower the reluctance of the path provided by the permeable material to the flux. Accordingly, a gradient in the magnetic field urges the motion of the movable member 110 because of the presence of inlaid permeable material 116, towards areas having a high concentration of magnetic flux. That is, the movable member 110 with inlaid permeable material 116 will be drawn in the direction of positive gradient in magnetic flux.
An external source of magnetic field lines of flux may be provided outside the device 100, as shown in
However, the performance of the device 100 can be improved by the use of a stationary permeable feature 130. The term “stationary feature” should be understood to mean a feature which is affixed to the substrate and does not move relative to the substrate, unlike movable member or valve 110. A stationary permeable feature 130 may be shaped to collect these diverging lines of flux and refocus them in an area directly adjacent to the movable member 110 with inlaid permeable material. The stationary permeable feature may have an expansive region 132 with a narrower throat 134. The lines of flux are collected in the expansive region 132 and focused into and out of the narrow throat area 134. Accordingly, the density of flux lines in the throat area 134 is substantially higher than it would be in the absence of the stationary permeable feature 130. Thus, use of the stationary permeable feature 130 though optional, allows a higher force, faster actuation, and reduces the need for the electromagnet 500 to be in close proximity to the device 10. From the narrow throat area 134, the field lines exit the permeable material and return to the opposite magnetic pole of the external source 500. But because of the high concentration of field lines in throat area 134, the permeable material 116 inlaid into movable member 110 may be drawn toward the stationary permeable feature 130, bringing the rest of movable member with it.
When the electromagnet is quiescent, and no current is being supplied to coil 514, the restoring force of spring 114 causes the movable member 110 to be in the “closed” or “waste” position. In this position, the inlet stream passes unimpeded through the device 100 to the waste channel 140. This position is shown in
Permalloy may be used to create the permeable features 116 and 130, although it should be understood that other permeable materials may also be used. Permalloy is a well known material that lends itself to MEMS lithographic fabrication techniques. A method for making the permeable features 116 and 130 is described further below.
As mentioned previously, having the waste channel 140 and 142 directly beneath the movable member or valve 110 allows the movable permeable feature 116 to be disposed much closer to the stationary permeable feature 130. If instead the waste channel were in the same plane, this gap would have to be at least large enough to accommodate the waste channel, along with associated tolerances. As a result, actuation forces are higher and valve opening and closing times are much shorter. This in turn corresponds to either faster sorting or better sorting accuracy, or both.
With the use of the electromagnetic actuation technique described above, actuation times on the order of 10 microseconds can be realized. Accordingly, the particle sorting device is capable of sorting particles at rates in excess of 50 kHz or higher, assuming 10 microseconds required to pull the actuator in, and 10 microseconds required to return it to the as-manufactured position.
A simplified plan view of the particle manipulation system with cytometric confirmation using an optical camera 160 is shown in
Laser interrogation region 101 is shown in the input channel 120 upstream of the particle manipulation stage 100. The output of a laser 102 may be directed into the laser interrogation region 101 in the input channel 120. A particle manipulation stage 100 or 100′ may be disposed at the junction of the input channel 120 with the sort channel 122 and waste channel 140. Particle manipulation stage 100 or 100′ may be any of the above described particle sorting mechanisms such as 100 shown in
This sort trigger pulse may also arm optical camera 160, and prepare it to capture an image of the sort channel 122. Accordingly, the optical camera 160 and the particle manipulation stage 100 maybe controlled by the same signal, and based on the detected fluorescence. These control signals may be generated by a controller 1900, which is shown in the system level view of
The optical camera 160 may be configured to generate repeated images of the same field view as triggered by the controller signal just described. These images may be overlaid to show the sequence and time evolution of the field of view of the optical camera 160. Accordingly, as multiple target particles are sorted by particle manipulation stage 100, this plurality of target particles will show appear in the field of view of the optical camera 160. Thus, the output of the optical camera 160 may show multiple particles within the image, and the particles may be clustered in a particular location within the image. The location of this cluster of target particles may be an indication of the relative precision of the timing of the sort pulse relative to detection of fluorescence of the target particle 150 in the detection region 101. The distribution of particles in the channel may be indicative of the variability of particle speed and location, within the flow, or variability in the fluid flow itself, for example.
The geometric center of the cluster is referred to herein as the “locus” of particles within the field of view. The locus may alternatively be understood as the center of the circle which includes most or all of the detected and sorted particles. If the locus appears in the downstream edge of the field of view of optical camera 160, it may be an indication that the sort trigger is somewhat late. In other words, the position of the locus may be an indication that the timing between the detection of the particles by the laser interrogation region 101, and the opening of the sort gate 110, maybe slightly too early or slightly too late. Accordingly, by analyzing the locus of the target particles in the field of view of the optical him a 160, the timing between the detection and sorting operations may be optimized. This may improve at least the purity and/or the yield of the particle manipulation system 100. Accordingly, the particle manipulation system with optical confirmation may be capable of optimizing itself under computer control, that is the system maybe “self-aware”. With no other operator intervention, the system may be able to optimize its various parameters including sort gate timing, sort gate width, laser power and positioning, etc., based on the sequence of images captured by the optical camera and analyzed by the computer.
The particle manipulation system may use a camera to image the target particles and a controller to determine the locus of the particles within a field of view of the camera, and the controller may adjust sort gate timing thereby.
Accordingly, the particle manipulation system with camera confirmation 100 may be used in a feedback loop as illustrated in
This feedback loop is shown qualitatively and
Normal operation of the system 100 is depicted in
The results of the closing of this feedback loop are illustrated in
Because of the microfabricated nature of particle manipulation device 100, it lends itself to techniques that can make use of such an enclosed, well defined architecture. One such technique is illustrated in
In one exemplary embodiment of the microfabricated particle manipulation device 100 with hydrodynamic focusing illustrated in
The novel flow channel may possess portions of variable cross section, wherein the variable cross section arises from the shapes of the sidewalls of the flow channel. These variable portions may have one sidewall which is substantially straight with respect to the flow direction, and an adjacent side wall which is not straight, or at least not parallel to the substantially straight portion. In particular, this adjacent sidewall may be triangular or parabolic in shape, deviating away from the straight sidewall in an expanding region, to a point of maximum channel width, before coming back to the nominal distance between the sidewalls in a contracting region. The expanding portion, maximum point, and contracting portion may constitute what is hereafter referred to as a fluid “cavity” 620 in the microfabricated channel. Accordingly, the variable channel width segments may define expansion/contraction cavities 620, 620′ within the microfluidic channel, wherein the cavity is defined by the expanding portion followed by the contracting portion.
The cavity 720 should be understood to be in fluid communication with the microfabricated fluid channel, such as sample inlet channel 120, such that fluid flows into and out of the cavity 620. It should be understood that this cavity 620 may be a two-dimensional widening of the channel in the expanding region, and narrowing of the channel in the contracting region. This shape of geometry is shown schematically in
The variable cross section focusing channel 700 may be used instead of the curved focusing channel 300 shown in
In the embodiment shown in
The relatively wide entrance angle to the triangular region 720 may enforce pronounced Dean flow forces in this region, focusing particles as described above. The gentler 30 degree exit angle may urge the particles into their new stable positions. The series of triangular regions 720 may enforce this behavior again and again, until the stable positions shown in
The pitch between the triangular cavities may be about 2 mm. The height of each triangular cavity as defined in
The incoming fluid channel may have a channel height of about 110 µm, as shown in the figure. The depth of this channel may be about 80 µm. This channel cross-section is maintained throughout the input to the triangle. Upon encountering the triangular cavity 760, the 110 micron dimension expands dramatically, whereas the 80 micron depth is maintained, as further described below.
The 80 µm dimension may pertain to the depth of the channel, that is, the depth of the channel in the dimension into the paper. A perspective view of the flow channel also appears in
There may also be a transition region shown in
It should be understood that these dimensions and the ratios between them are exemplary only. More generally, the channel height may bt, for example, between 50 um and 500 um, and the channel width may be between about 30 um and about 120 um. Accordingly, the aspect ratio in the “tall” segment (AR>1) may simply have an aspect ratio greater than 1 (for example, between 1+ and 50), and the aspect ratio in the “wide” segment may simply have an aspect ratio less than 1 (for example, between 0.4 and 1-).
Because the Dean flow forces take some time to urge the particles into the desired portion of the fluid channel, a substantial length of fluid path may be required to accomplish the focusing. In some embodiments, the total path length may be on the order of, for example, 8 cm or more. In view of this length, it may be advantageous to fold the fluid path in order to make the device more compact.
In some embodiments, a relatively large number of triangular cavities 760 is used, each having a shape general as depicted in
As mentioned earlier, another important detail in this design, is the change of aspect ratio of the cross-section of this fluidic path. As mentioned, at the input to the segment of the path containing the triangular cavities, the cross-section of the flow channel may be 110 µm x 80 µm = 1.375. The 110 µm dimension is variable because of the presence of these triangular cavities. However the 80 µm dimension is maintained throughout. As a result the aspect ratio of this portion of the flow channel, aspect ratio being defined as the height divided by the depth, maybe greater than one. In particular the aspect ratio of this flow channel may be 110/80 = 1.375 at the input, and increasing to almost 6 at the apex, before returning to 1.375 at the exit of the cavity. before encountering the transition region shown in
After approximately 40-70 triangular cavities in the flow path, the flow may encounter the transition region shown in
This length of fluid path, with aspect ratio 1.375, will result in a focusing of the particles in a particular portion of the fluid channel. In particular, the particles may be arranged in two points along the depth dimension. That is, across the 80 µm depths of this flow channel there may exist to concentrated areas where the target particles are urged. This behavior is driven by the Dean flow forces existing in the curved channel with the aspect ratio being greater than one. If this aspect ratio is suddenly changed to a value less than one, the effect will be to urge the target particles into two new, and different paths plus spots with respect to the short dimension of the aspect ratio short dimension of the channel.
This behavior is illustrated by
Also illustrated in
The effect of this change is therefore to suppress the second stable position that was formed in the AR>1 channel. That is, the AR>1 channel tends to focus particles on the right hand side of the channel, but the transition to cross section B suppresses the second stable position and encourage all the particle to flow in a single location of the right hand side of the channel. This effect is illustrated in
To further clarify, because the target particles were urged into two spaces with aspect ratio greater than one, but two different spaces with aspect ratio less than one, the effect is to undermine or suppress one of the stable positions of the particles as illustrated in
Another way to shift the locations of the stable position within the flow channel, is to impose a 90° turn in the fluid path. This may provide an effect similar to the change in aspect ratio from AR>1 to AR<1, but in the orthogonal dimension. As such, the effect is difficult to render in a 2-dimensional drawing. Nonetheless, the novel flow path is depicted in
A camera/classifier confirmation system 1600 may also be included in the particle manipulation system 1000 as show schematically in
The embodiment shown in
The other optical components in particle manipulation system 1000 may include a beamsplitter 1500 and multiple color detectors 1300. The beam splitter 1500 may reflect the incoming light from laser 1400 onto the MEMS manipulation device 100.
The output of detectors 1300 may be analyzed by the controller 1900 and compared to a threshold in normal operation. The controller 1900 may be understood to be operating in conjunction with the deep learning module 1950 described above, where in the deep learning module may include an annotated image library 1960 and a classifier 1970 and an analyzer 1980.
Accordingly, the particle manipulation system may include a particle manipulation stage and a sample stream in a microfluidic inlet channel, an optical interrogation device upstream of the particle manipulation stage which identifies target particles, and an optical confirmation device downstream of the particle manipulation stage, wherein the optical confirmation device uses a camera to determine the presence or absence of a target particle.
In one embodiment, the MEMS particle manipulation system 1000 may be used in conjunction with one or more additional downstream cameras 160, wherein the additional cameras are used to confirm the effectiveness or accuracy of a manipulation stage in manipulating a stream of particles. The downstream evaluation by camera, as described above, may occur beyond the sorting stage 100 or 100′ and may allow the operator to measure one event number (e.g. the captured event rate post-sort) divided by another event number (e.g. the initial event rate pre-sort) for individual particle types, and to feedback to adjust initial interrogation parameters (e.g. such as x, y, z position and also “open window” length in time) based on this ratio. This method may thus be used to optimize the yield or accuracy of the system 1000.
Alternatively, the operator could measure the event rate post-sort of target cells, divided by total event rate post-sort feedback to adjust initial laser interrogation parameters such as x, y, z position and also “open window” length in time, in order to optimize the purity of the sorting system 1000. These sorting parameters may be adjusted by changing control signal 2000 which is sent by computer 1900 to electromagnet 500, or by changing the optical detection parameters or by changing the laser control signals, as shown in
Accordingly, the particle manipulation system may image the target particles with the camera, determine the locus of the particles within a field of view of the camera with a controller, and adjust a sorting parameter. The system may optionally be used with machine learning or artificial intelligence techniques to choose superior sorting parameters. One such sorting parameter is the timing of the sort gate, but other parameters may include at least one of laser fluorescent pulse shape, width, magnitude or duration, laser intensity, optical alignment or focusing, gate duration, and so forth. These parameters may be optimized with respect to purity, yield, or some other measured output of the system 1000.
The particle manipulation system described above may make use of any of a number of particle manipulations. These manipulations may include moving the particles using a pressure pulse, so as to guide them in a particular direction. Other manipulations may include washing, mechanical interference such as pushing or squeezing, application of heat, cooling, application of fields such as magnetic or electric fields. This field-based manipulation may result in electroporesis, transfection, or electrophoresis which may alter the trajectory of the particles. More broadly, the particle manipulation system may be combined with transfection of wide-ranging sorts and methodologies.
As discussed further below, the system 1000 may include internet capability, remote operation and remote data storage. The required connections to the internet, cloud, or data repository 5000 may be hardwired or wireless, and may allow non-local operation by a remote operator 4000.
Many sorts of particle manipulations are envisioned using this system. The manipulations may include, for example, mechanical probing, squeezing, slicing, rupturing. Other embodiments may use heating, tagging, sorting, imaging, counting. The particle may be focused into a particular streamline, which may improve performance of the system.
In some embodiments, the particle manipulation system may be coupled to a fluidic focusing structure as described above, which tends to concentrate the particles in a particular portion of the microfabricated channel. The fluidic focusing system may include the three-dimensional focusing channel described above, which may focus the ensemble of particle into stream lines near the center of the channel.
In some embodiments, the particle manipulation system may be coupled to a droplet generator which generates droplets containing one or more known, identified particles. These droplets may optionally be dispensed into an immiscible fluid, such as water droplets into a hydrophobic fat or an oil. These particles may be brought into the droplet or sequence of droplets in a particular desired order, under computer control, by proper manipulation of the system. The target particles may also be coupled to a bar coded bead which identifies uniquely the bead/particle combination, and thus identifies uniquely the bound particle.
In some embodiments, the particle manipulation system may be coupled to a genetic sequencer, that may sequence the DNA or RNA of the particles enclosed in the droplet.
In some embodiments, the particle manipulation system may be combined with a device that can activate a particular bioactive compound, for example a protein. The protein may be activated optically (photoactivation) or chemically, for example. The activated compound may then interact with the manipulated particle.
In other embodiments, the particle manipulation system may be combined with a selective lysis system. In this case, the manipulated particles may be lysed on demand, and only particular cells subjected to the lysing. The lysant may be photoactivated.
Similarly, the particle manipulation system may be combined with a selective optical activation system, for example a selectable UV light source. The UV light may photoactivate a bleaching/quenching system, wherein the UV light is applied to a fluorophore to quench the fluorescence. This system may use the above described hardware and software system to apply the photoactivation to only a subset of targeted particles.
In many of these embodiments, a measurement (of a control variable) is made using a sensor, and this measurement may form the basis of a feedback system wherein a manipulation parameter is adjusted based on the value of the measurement (of the control variable), and the measurement is taken again after the adjustment. Thus the “manipulation parameters” may be those variables used by the control loop to alter the performance of the manipulation system in some way. Accordingly, the feedback loop may be used to drive the measurement of this control variable to a predefined level, using the manipulation parameters.
Examples of control variables may include Hall effect detection, fluorescence intensity, scatter, side scatter, locus of particle detected, statistics as to the relative location of particles in the channel. Additionally, capacitive measurements may be used to detect the passage of the target particle within the channel. Other indicators may include the deflection of an mechanical device, sensor or actuator. Accordingly, the control variable may be, for example, fluorescence, capacitance, mechanical or spectroscopic data, the number of live or dead cells passing through the device, or their ratio. The feedback loop may be operable to improve or maximize an aspect of the manipulated population, such as their purity or yield, ratio of live to dead.
Fourier-transform infrared (FTIR) spectroscopy may also be used to measure a fluorescence spectrum of a particle. FTIR is a technique used to obtain an infrared spectrum of absorption or emission of a solid, liquid or gas. An FTIR spectrometer simultaneously collects high-resolution spectral data over a wide spectral range.
Examples of the manipulation parameters may include timing of a gate for a sorter, duration of the gate signal, waveform of the valve timing signal. Other manipulation parameters may include fluid velocity, fluid pressure, particle concentration. The feedback loop may attempt to improve or maximize the tightness of distribution of the particles in the channel, and the location of their locus. Alternatively, sort efficiency, yield, timing information, velocity, fluid flow rate, disturbances in the flow arising for example from the opening or closing of a valve. As mentioned previously, the parameters that may be adjusted based on the measurements may be valve timing, sort gate, flow rate, viscosity, laser algorithms, and adjusting the timing of the leading and/or trailing edges of the valve gate signal.
In some embodiments, the particle manipulation system may be coupled with a cell counter/analyzer or cytometer, such as the MACS Quant, developed and manufactured by Miltenyi Biotec B.V. & Co. KG. The cytometer may provide valuable analytical information such as particle size and distribution, wherein this information is then shared with the particle manipulation system to further optimize the manipulation in terms of target particle and cell populations.
The cytometer may alternatively by disposed downstream of the particle manipulation system, in order to gather information or statistics as to the performance of the particle manipulation system. The cytometer may assess the sort purity or yield, for example.
In other embodiments, the particle manipulation system may be coupled to a particle sorting system. The particle sorting system can be configured to perform a pre-sort or debulking, to remove a large number of non-target species, before routing the sorted stream to the particle manipulation system. A magnetic bead cell separation, for example using Miltenyi Biotec B.V. & Co. KG MACSiMag, may do a pre-sort/debulking to reduce the concentration of cells in a sample. A cell handling system such as the Miltenyi Biotec B.V. & Co. KG CliniMACS Prodigy may be used to increase automation and reduce handling of the fluids and samples, for example.
In other embodiments, the particle manipulation system may be operated in conjunction with a cloud computing system, wherein operational software is downloaded from the cloud, and the results of the procedure may be uploaded. After downloading an algorithm with control parameters and target quantities for the feedback loop, the results of the particle manipulation may then be uploaded to the cloud for remote evaluation. The cloud may serve as a repository of data for manipulations occurring in different geographic locations, such that results may be quickly and easily compared.
In other embodiments, the particle manipulation system may be coupled to a robotically controlled automation system. The system may perform the manipulations of fluids such as buffers, reagents and lysants, to name just a few. When combined with a plurality of fluid receptacle such as multiwell titer plates,, large scale parallel operations can be performed, greatly improving throughout and efficiency. Very few human operators would be needed to oversee the operations, and the oversight could b done remotely, increasing the overall safety of the system. As before, remote operation could be easily combined with robotic control over the system, cloud-housed software and global data repositories.
The particle manipulation system can be implemented on manufacturing lines, such as cell manufacturing lines, and can thus serve as quality control devices, to maintain the integrity of the manufacturing process. Any deviation from expected values, for example, purity, yield and viability, could prompt the interruption of the manufacturing process for failure analysis to take place. Again, this can all be done remotely.
The particle manipulation system may be combined with PCR testing to amply the effluent or to confirm the identity of the pathogen.
In other embodiments, the particle manipulation system may be coupled with other cell manufacturing or research tools, such as incubators and centrifuges. In other embodiments, the system may be coupled to at least one of a mixer, a stirrer, a well plate, an optical analyzer, and an imaging system.
The coupling may be done through direct fluidic plumbing, or alternatively by robotic transfer such as pipetting, or, of course, under human control.
As mentioned, the data may be uploaded to an internet-enabled data repository 5000, and a remote operator 4000 may be notified that the algorithm has run to completion, and that results are available. The operator can be notified by SMS texting, a cell phone message or an email, for example. The communications may be effected over Bluetooth, WiFi or cellular service to an operators phone, computer or other mobile device.
The algorithm could be self-correcting, that is, under feedback control, for a largely completely automated process. Combined with robotically controlled tasks such as the movement of fluids, the entire process may be possible with little or no human intervention.
Alternatively, the system can adaptively respond to events occurring, such as an unexpected change in pressure or flow, indicating that a clog is forming in a channel.
The algorithm may make use of a preconfigured setup, design around the particular application. For example, if it is desired to sort a particular sort of cell such as a tumor, stem or immune cell, a pre-determined package of parameters may be downloaded from the cloud and installed on the particular particle manipulation system. Upon successfully running that algorithm, the operator may be informed wirelessly of the outcome, and that the data has been posted to the cloud or to some other data storage device. The data storage device may be made accessible to other researchers, clinicians or operators, in order to compare the data and outcomes. The parameters may include compensation parameters related to size, fluorescence or some other attribute of the particle.
Accordingly, disclosed here is a particle manipulation system which may be operated remotely and feature operational feedback loops.
The particle manipulation system may include a particle manipulation device with a plurality of microfabricated channels formed in a substrate, and operating based on at least one operational parameter, a sample stream flowing to and from the particle manipulation device, wherein the sample stream includes target particles and non-target material, a feedback system that monitors the target particles through the particle manipulation system and generates a feedback signal, and a controller that alters at least one operational parameter based on the feedback signal.
The particle manipulation system may further include a fluid focusing channel having curved features which urges the target particle into a specific portion of the sample stream. The at least one operational parameter may include at least one of timing of a sort gate, duration of sort gate, waveform of a sort gate, fluid velocity, fluid pressure, particle concentration, valve timing, sort gate, flow rate, viscosity, laser algorithms, and adjusting the timing of the leading and/or trailing edges of the valve gate signal.
The feedback signal may include at least one of locus of particle incidences, yield, purity and sort efficiency, yield, timing information, velocity, fluid flow rate, disturbances in the flow arising for example from the opening or closing of a valve, the tightness of distribution of the particles in the channel, and the location of their locus.
The particle manipulation system may comprises a first stage having a microfabricated particle sorting valve, which directs the target particles into a first of a plurality of output channels, and the non-target material into another of the plurality of output channels. The particle manipulation may further comprise a second stage 7000 which performs an additional particle manipulation on the sample stream. The second particle manipulation stage 7000 may include at least one of a presorting stage, a magnetic sorting stage using magnetic beads, a cytometer stage, a mechanical probing stage, a squeezing stage, a slicing stage, a rupturing stage, a heating stage, a tagging stage, sorting, an imaging stage, a counting stage, and a transfection stage.
An algorithm that encodes the feedback loop may be stored in the cloud. the algorithm may include artificial intelligence or machine learning techniques. The algorithm may have a preconfigured setup, designed around the particular application.
The preconfigured setup may be directed to at least one of a tumor, stem and an immune cell.
The particle manipulation system may be controlled remotely.
In addition, the data generated by the particle manipulation system is stored remotely. The data may be accessed simultaneously by a plurality of operators.
The particle manipulation system may be connected to the internet, and can be controlled remotely over the internet. The data generated by the particle manipulation system may be stored in the cloud. An operator may be notified of successful completion by SMS texting, a cell phone message or an email, and transmitted over Bluetooth, WiFi or cellular service to the operators phone, computer or other mobile device.
The particle manipulation system may be coupled to an additional downstream manipulation stage 6000. The downstream manipulation stage 6000 may be at least one of an incubator, a centrifuge, a mixer, a genetic sequencer, a stirrer, a well plate, an optical analyzer, and an imaging system. The coupling is done by fluidic plumbing, by robotic transfer, or pipetting.
While various details have been described in conjunction with the exemplary implementations outlined above, various alternatives, modifications, variations, improvements, and/or substantial equivalents, whether known or that are or may be presently unforeseen, may become apparent upon reviewing the foregoing disclosure. Accordingly, the exemplary implementations set forth above, are intended to be illustrative, not limiting.