초록 ▼

The present invention relates to methods and apparatuses for the detection of positional freedom of particles used in biological, biochemical, physical, biophysical, and chemical analyses. In particular, the present invention relates to methods and apparatuses which can detect and characterize a pop

The present invention relates to methods and apparatuses for the detection of positional freedom of particles used in biological, biochemical, physical, biophysical, and chemical analyses. In particular, the present invention relates to methods and apparatuses which can detect and characterize a population of particles/cells based upon their detected mobility. In one embodiment consistent with the invention, detection of certain cells is based on differences detected in populations of cells that bind to a substrate and those that exhibit weaker binding forces. Initially, cells are settled on the substrate, and in the presence of gravitational, natural thermodynamic pressure fluctuations, and other random or applied forces, some of the particles may exhibit translational movement. Particle movement is detected, and measurements are computed, according to the methods and apparatuses of the present invention, to determine the binding of specific analytes.

대표청구항 ▼

1. A method of measuring a degree of binding between particles in a solution and a surface comprising: imaging a plurality of particles in a fluid in a sample holder using an image apparatus,wherein said sample holder includes a sample chamber having at least one capture surface region with which sa

1. A method of measuring a degree of binding between particles in a solution and a surface comprising: imaging a plurality of particles in a fluid in a sample holder using an image apparatus,wherein said sample holder includes a sample chamber having at least one capture surface region with which said particles interact;acquiring a time series of images of said plurality of particles using a camera; andmeasuring a positional freedom for at least some of said particles as a statistical measure which describes a time dependent positional evolution of each of said particles in a predetermined neighborhood surrounding each of said particles, said statistical measure being expressed as one of a variance, standard deviation, root mean square (RMS) travel, or autocorrelation function of a position of each of said particles, associated with said time series of images. 2. The method of claim 1, further comprising: suspending said plurality of particles in said fluid in said sample chamber under illumination from an illumination source of said imaging apparatus;wherein said sample holder is part of a flow device. 3. The method of claim 1, further comprising: applying an activating means to said particles in said fluid. 4. The method of claim 3, further comprising: moving said fluid in said sample chamber during measurement of said positional freedom, using said activating means. 5. The method of claim 1, further comprising: settling said particles in the sample chamber according to one of a gravity-based system, a centrifugal-based system, a flow-based system, a diffusion-based system, a magnetic-based system, or a holographic optical tweezing system. 6. The method of claim 1, wherein said at least one capture surface region binds probes that can form complexes with said particles. 7. The method of claim 1, further comprising: determining a positional freedom of each of said particles, using a processor, to determine a presence, absence or amount of an analyte. 8. The method of claim 1, wherein said imaging apparatus is an optical microscopy apparatus comprising a holographic imaging apparatus. 9. The method of claim 8, wherein said camera is from said optical microscopy apparatus; and said images are analyzed using a processor. 10. The method of claim 9, wherein said determination of said positional freedom is performed by measuring variations in light scattered from at least one of said particles in a predetermined neighborhood of said at least one capture surface region for a predetermined time, using said processor. 11. The method of claim 10, wherein said neighborhood of said at least one capture surface region is a predetermined boundary around a position of a known one of said particles where motion is observed. 12. The method of claim 10, wherein said positional freedom is determined by computing an average of multiple acquired images of said particles, computing an average difference between successive image frames of said particles, and computing a pixel-wise variation in intensity throughout said time series of said images, using said processor. 13. The method of claim 10, wherein an analysis of a statistical distribution of pixel intensity values is calculated, using said processor, for each of said particles, from which a distribution of positional freedom and a distribution of binding degrees of each of said particles, is obtained. 14. The method of claim 8, further comprising: automatically focusing on said capture surface region and finding one or more of said plurality of particles;selecting said one or more of said plurality of particles for analysis;obtaining said time series of images as a sequence of acquired images, of said plurality of particles using said camera; anddetermining said positional freedom of at least some of said plurality of particles using one of pattern recognition routines, size and shape data, absorbance data, fluorescence microscopy data, or other spectral data or other non-spectral measurements. 15. The method of claim 14, wherein a time elapsed between said acquired images and a length of said time series is determined by a computer, by particle type, imaging method, and particles being measured. 16. The method of claim 14, wherein said focusing includes: propagating out-of-focus images to different distances to allow a focus to be determined numerically. 17. The method of claim 16, further comprising: associating a focus measure with each of said numerically propagated images, to obtain an extremum in said focus measure, thereby allowing a single stage movement of said optical microscopy apparatus, to position said plurality of particles in a required focal position. 18. The method of claim 17, further comprising: acquiring said out-of-focus images upon which to perform numerical propagation calculations, using a focusing camera. 19. The method of claim 18, wherein said focusing camera is placed at an imaging plane different to that of said camera used for acquiring said sequence of images of said plurality of particles. 20. The method of claim 19, wherein focusing calculations are performed from images collected from said focusing camera which is positioned in said imaging plane that is out-of-focus compared to said camera used for acquiring said sequence of images of said plurality of particles. 21. The method of claim 18, wherein said focusing camera is the same as said camera used for acquiring said sequence of images of said plurality of particles; and wherein an image for focusing purposes is collected after controlled defocusing of an image of said plurality of particles. 22. The method of claim 18, further comprising: repeating the selection and determining steps with said propagating step, until a termination threshold is met, said termination threshold being met by one of a predetermined number of particles being analyzed in total, or a predetermined number of particles analyzed in each said capture surface region, an elapse of a maximum time period, or a surpassing of a statistical measure of error. 23. The method of claim 14, further comprising: determining said positional freedom by computing a pixel-wise standard deviation of said sequence of images taken by said camera. 24. The method of claim 14, further comprising: generating a sequence of intermediate images using said sequence of images acquired by said camera, which are computed as an absolute value of a pixel-wise difference in successive input images;determining an output image by averaging said intermediate images; anddetermining individual particle fluctuation values by averaging or summing values of said output image in said predetermined neighborhood of each of said plurality of particles. 25. The method of claim 14, further comprising: determining individual particle fluctuation values by calculating a root-mean-squared value of inter-frame movement of said sequence of images. 26. The method of claim 25, wherein tracked positions of said plurality of particles over a plurality of frames are used to compute exact real-space interframe displacements of said plurality of particles over a plurality of frame intervals; wherein particle displacements are averaged at each of said plurality of frame intervals to yield an average particle movement at each of said plurality of frame intervals. 27. The method of claim 26, wherein tracked positions are employed and average interframe displacements are computed and used to indicate an error condition in cases where said average interframe displacements achieve a predetermined high level, indicating a degree of unintended vibration or impact to said plurality of particles. 28. The method of claim 27, wherein said tracked positions are used in conjunction with said activation means to yield particle fluctuation values under controlled activation. 29. The method of claim 28, wherein said activation means includes one of a pneumatic or hydraulic pressure oscillator, a piezoelectric hydraulic actuator, a piezoelectric stage oscillator, a pneumatic or hydraulic valving or perturbation device, a thermal actuator, acoustic radiation, or well cap activation. 30. The method of claim 29, wherein said activation means achieves multiple forcing intervals, where forcing is uniform within a given interval; and wherein said particle tracking identifies a given force by identifying a position of one of said plurality of particles during a given forcing interval. 31. The method of claim 8, wherein said imaging apparatus includes digital video microscopy, use of a quadrant photodiode, microscopy with coherent illumination, measurements of scattered light, holographic microscopy, and evanescent wave techniques. 32. The method of claim 1, further comprising: computing a positional freedom distribution of said particles, using a processor. 33. The method of claim 32, further comprising: incorporating a weighting effect into calculation of said positional freedom distribution. 34. The method of claim 1, wherein said particles are blood cells. 35. The method of claim 34, wherein said blood cells are red blood cells, and forward typing of said red blood cells is performed, wherein blood cells contain specific antigens which bind with capture surface regions containing specific antibodies. 36. The method of claim 34, wherein said blood cells are red blood cells, and reverse grouping of one of a plasma or serum sample is performed, wherein said red blood cells contain or lack specific blood group antigens which can bind with target antibodies which links to antigens of red blood cells disposed on said capture surface regions. 37. The method of claim 34, wherein said blood cells are flattened red blood cells. 38. The method of claim 1, wherein a presence or absence of an analyte on the surface or surrounding solution of at least one of said particles is measured. 39. The method of claim 38, wherein the method is used to screen antibodies. 40. The method of claim 1, wherein the method is used to screen for infectious disease. 41. The method of claim 1, wherein the method is used to screen a library of molecules. 42. The method of claim 1, wherein each of said plurality of particles that is adhered to said capture surface region, is determined to have a specific binding target of said capture surface region present on a surface thereon when each of said adhered plurality of particles fails to move greater than a predetermined distance after a predetermined amount of time or a predetermined number of observations. 43. The method of claim 42, further comprising: measuring positional data of a time-series of observations in relation to a fiduciary marking of a first surface region of said sample holder, or a microscope stage, or of other particles or microscopic objects. 44. The method of claim 1, further comprising: determining said measure of positional freedom for each of said particles individually, or for multiple particles. 45. The method of claim 44, wherein said measure of positional freedom is determined for multiple particles; and wherein images of multiple particles are manipulated mathematically or computationally, which does not require identification of individual particles. 46. The method of claim 45, further comprising: acquiring successive images of said multiple particles at two or more times using a camera, and using a digital comparison of said successive images to parameterize a time-dependent autocorrelation function or time-dependent probability function. 47. The method of claim 1, wherein an identity of said capture surface region is determined from one of machine-readable markers, or from knowledge of a fluidic cartridge orientation with respect to reference markings. 48. The method of claim 1, further comprising: obtaining calibration data for one or more samples of said plurality of particles. 49. The method of claim 48, wherein two calibration samples are measured and a calibration threshold value of positional freedom measurement is obtained; and wherein measurements of said positional freedom of said plurality of particles are compared to said calibration threshold, to determine a presence or absence of binding interactions.