Aspects of the present disclosure include methods for characterizing particles of a sample in a flow stream. Methods according to certain embodiments include generating frequency-encoded fluorescence data from a particle of a sample in a flow stream; and calculating phase-corrected spatial data of the particle by performing a transform of the frequency-encoded fluorescence data with a phase correction component. In certain embodiments, methods include generating an image of the particle in the flow stream based on the phase-corrected spatial data. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to calculate phase-corrected spatial data from frequency-encoded fluorescence data of a particle a flow stream are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods are also provided.

Light detection systems are provided. Aspects of the light detection systems include first and second light receivers in fixed positions relative to each other, a plurality of wavelength separators configured to pass light from the first and second light receivers having a predetermined spectral range, and a plurality of light detection modules. Baseplates having a stage for mounting a light receiver, a plurality of recesses for fixing a plurality of light detection modules in rigid alignment relative to the stage, and a heat dissipation opening positioned within each recess are also provided. In addition, particle analysis systems, methods and kits for practicing the invention are disclosed.

A sample analyzer with an optical detection device and a sample analysis method of the sample analyzer are disclosed. The optical detection device includes a fluid chamber, a light source and a light detector. The fluid chamber includes an illumination zone. An analyte flows through the illumination zone so as to form a sample stream. The light source illuminates the illumination zone to excite cell articles, reacted with a reagent, of the sample stream to emit a light signal. The light detector detects the fluorescent lights and transforms it into an electric signal. The light detector can include a silicon photomultiplier.

A method for analyzing nucleated red blood cells in a blood sample includes obtaining fluorescence signals and scattered light signals of cells in a blood sample; classifying and counting ghost particles, white blood cells, and nucleated red blood cells in the blood sample according to the fluorescence signals and the scattered light signals; obtaining a characteristic value of a characteristic particle population related to the nucleated red blood cells; and ascertaining a final nucleated red blood cell detection result according to the classifying and counting result of the nucleated red blood cells and the characteristic value of the characteristic particle group.

A process is provided for the determination of oil dispersant effectiveness. A submersible dispersant sensing platform is passed across a body of water. The platform has a plurality of sensors including a multichannel fluorometer and a particle size analyser, and each sensor produces an output data stream. The body of water is continuously analysed at a predetermined depth profile below the surface of the body of water. Hydrodynamic and environmental condition data is collected proximate in time and location to the output data from the dispersant sensing platform. The environmental condition data includes one or more of ambient temperature, body or water temperature, salinity of the body of water, wind speed, location, mixing energy of the body of water and derivatives thereof. Oil and dispersant data is provided which includes characteristics of the dispersant and of oil samples prior to the application of the dispersant. The output data stream, the hydrodynamic and environmental condition data, and the oil and dispersant data is processed to generate an indicator of the state of dispersion of the oil and of the oil dispersant efficiency under the hydrodynamic and environmental conditions the oil is exposed to. A system for the determination of oil dispersant efficacy is also provided.

The invention encompasses analyzers and analyzer systems that include a single molecule analyzer, methods of using the analyzer and analyzer systems to analyze samples, either for single molecules or for molecular complexes. The single molecule uses electromagnetic radiation that is translated through the sample to detect the presence or absence of a single molecule. The single molecule analyzer provided herein is useful for diagnostics because the analyzer detects single molecules with zero carryover between samples.

A particle sizing method which allows for counting and sizing of particles within a colloidal suspension flowing through a single-particle optical sizing sensor SPOS apparatus using pulse height detection and utilizing non-parallel and non-uniform illumination within the sensing region of the flow cell. The method involves utilizing a deconvolution process which requires the SPOS apparatus to be characterized during a calibration phase. Once the SPOS apparatus has been characterized, the process of deconvolution after a data collection run, recursively eliminates the expected statistical contribution to the pulse height distribution PHD histogram in all the lower channels from the highest channel height detected, and repeating this for all remaining channels in the PHD, removing the contributions from largest to smallest sizes.

A particle sorting apparatus for separating particles according to the sizes of the particles, and includes a microchannel device, a computation unit that determines a condition for controlling the microchannel device using a trained model obtained through machine learning of control condition data and separation result data that have been obtained by separating particles while controlling the microchannel device, and a control unit that controls the microchannel device based on the condition.

Introduced here is an approach to improving the automatic identification of hematological diseases using computer-implemented models that are trained to rapidly distinguish between different collections of immunophenotypes that represent different disease types or disease states. Understanding the different patterns of immunophenotype collections contained in a given sample may permit a proposed diagnosis for a given hematological disease to be produced for the corresponding patient. For example, the proposed diagnoses may be output by a classification model based on the distribution of immunophenotypes across the given sample.

The present disclosure is related to a method of producing a microfluidic sorting apparatus. The method includes providing an injection-molded substrate comprising a network of channels; bonding an insulating film to an upper surface of the substrate to cover the network of channels; and depositing a conductive film on the insulating film. The substrate can be separated from the conductive film.