Holograms of colloidal dispersions encode comprehensive information about individual particles' three-dimensional positions, sizes and optical properties. Extracting that information typically is computation-ally intensive, and thus slow. Machine-learning techniques based on support vector machines (SVMs) can analyze holographic video microscopy data in real time on low-power computers. The resulting stream of precise particle-resolved tracking and characterization data provides unparalleled insights into the composition and dynamics of colloidal dispersions and enables applications ranging from basic research to process control and quality assurance.

A method for analyzing a blood sample is provided that includes the steps of: providing a blood sample having one or more of each first and second constituents; admixing a colorant with the sample, which colorant is operative to cause the first constituents and second constituents to fluoresce and absorb light; illuminating at least a portion of the sample; e) imaging a portion of the sample; determining a fluorescence value for each the first constituents and second constituents; determining an optical density value for each of the first constituents and second constituents; and identifying the first constituents and the second constituents using the determined fluorescence and optical density values.

An imaging flow cytometry apparatus and method which allows registering multiple locations across a cell, and/or across multiple flow channels, in parallel using radio-frequency-tagged emission (FIRE) coupled with a parallel optical detection scheme toward increasing analysis throughput. An optical source is modulated by multiple RF frequencies to produce an optical interrogation beam having a spatially distributed beat frequency. This beam is directed to one or more focused streams of cells whose responsive fluorescence, in different frequencies, is registered in parallel by an optical detector.

Described herein are apparatuses for analyzing an optical signal decay. In some embodiments, an apparatus includes: a source of a beam of pulsed optical energy; a sample holder configured to expose a sample to the beam; a detector comprising a number of spectral detection channels configured to convert the optical signals into respective electrical signals; and a signal processing module configured to perform a method. In some embodiments, the method includes: receiving the electrical signals from the detector; mathematically combining individual decay curves in the electrical signals into a decay supercurve, the supercurve comprising a number of components, each component having a time constant and a relative contribution to the supercurve; and numerically fitting a model to the supercurve.

A method for measuring concentrations of blood cell components is provided. The method comprises: obtaining a blood sample from a subject, the blood sample comprising red blood cells (RBCs), white blood cells (WBCs), and platelets (PLTs); mixing the blood sample with a non-lysing aqueous solution to form a sample mixture comprising a predetermined tonicity; passing the sample mixture through a flow cell; emitting light towards the flow cell; measuring an amount of light absorbed by the RBCs; measuring an amount of light scattered by WBCs, and PLTs; determining a concentration of each of the RBCs, WBCs, and PLTs present in the sample mixture from the measured amount of light absorbed by the RBCs and scattered by the WBCs and PLTs.

Provided herein are systems and methods for analyzing blood samples, and more specifically for performing a basophil analysis. In one embodiment, the systems and methods include: (a) staining a blood sample with an exclusive cell membrane permeable fluorescent dye; and then (b) using measurements of light scatter and fluorescence emission to distinguish basophils from other WBC sub-populations. In one embodiment, the systems and methods include performing a basophil cluster analysis of the blood sample, based on the combination of light scatter and fluorescence measurements.

The invention provides cells or populations of cells, including non-human animals or non-human mammals having these cells, where the cells or populations of cells are stably tagged, uniquely identified and genetically barcoded by one or more detectable, e.g., fluorescent, proteins; and methods of making and using them. In alternative embodiments, the invention provides methods for tagging, uniquely identifying or genetically barcoding a cell, a population of cells, or a culture of cells by stably transferring, transfecting, transducing, infecting or implanting one or more nucleic acids encoding readable or detectable, e.g., fluorescent, moieties into the cells. In alternative embodiments, the nucleic acids are stably inserted into the cells such that the readable or detectable, e.g., fluorescent, genetic barcoding becomes a stable, heritable characteristic of the cell. In alternative embodiments, the invention provides fluorescent barcoded multiplexed cell-based assays using several different fluorescent proteins. The multiplexing power of methods of the invention can be increased by combining both the number of distinct fluorescent proteins and the fluorescence intensity in each channel.

A method is provided for characterizing a biological sample having a plurality of fluorophores, including a red fluorophore and a blue fluorophore, comprises exciting the red fluorophore via absorption of a photon order of n by a single wavelength band of light that has longer wavelengths than a typical wavelength band of light known to excite the red fluorophore would have. The method further comprises exciting the blue fluorophore substantially via absorption of a photon order of n+1 by the single wavelength band of light. The method also comprises simultaneously detecting light emitted by the red fluorophore and the blue fluorophore. The method further comprises creating an image or a temporal series for sensing from the light detected in the plurality of orthogonal colors.

Provided are: an image processing device; a fine particle sorting device; and an image processing method, in which electric charge can be easily and accurately applied to a droplet. An image processing device including: a control unit adapted to set a light source lighting delay time to control a light source, the light source lighting delay time indicating a time from a time point when a fine particle in fluid is detected by a detection unit until a time point when the light source is turned on for the fine particle included in a droplet formed from the fluid; a processing unit adapted to identify positional information of the fine particle on the basis of an image of the fine particle acquired in accordance with lighting of the light source during the set light source lighting delay time; and a recording unit adapted to record, in a correlated manner, the positional information identified in the processing unit and the light source lighting delay time. The processing unit determines, as a drop delay time, a light source lighting delay time correlated to target positional information that is predetermined positional information, and the drop delay time indicates a time from the time point when the fine particle is detected by the detection unit until the droplet is formed from the fluid containing the fine particle.

A multi-parameter automatic blood cell counting device includes a basic information generating part, an immune cell subgroup detection part, an immunodynamic change analyzing part, a storage part, and display part. The basic information generating part acquires examination information about a blood count of blood components and a white blood cell image and CD classification analysis information about monoclonal antibodies that bind to lymphocyte surface antigens. The immune cell subgroup detection part detects information about immune cell subgroups required for analyzing an immune status of a subject based on the examination information and the CD classification analysis information. The immunodynamic change analyzing part identifies information about the change in immunodynamics of the subject based on the information detected by the immune cell subgroup detection part and the examination information and CD classification analysis information stored in the storage part, and displays an image of the identified information on the display part.