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.

The present invention relates generally to the field of plastic microparticles. In particular, the present invention relates to the detection of plastic microparticles in a water-based sample. An embodiment of the present invention relates to a process for detecting and characterizing plastic microparticles in a water-based sample comprising the analysis of the sample by spectral flow cytometry. In accordance with the present invention, the process described herein may comprise the processing of the recorded flow cytometry data by a machine learning algorithm that can distinguish and categorize each particle based on its unique spectrum to characterize, for example, the plastic microparticles.

The disclosed apparatus, systems and methods relate to technology that provides a method for the assessment of the polymerization of a sample, e.g., whole blood or blood plasma coagulation, by a non-contact acoustic tweezing device via the application of a sweeping frequency to the levitating sample and the corresponding assessment of extracted sample parameters.

Provided herein are techniques for label free cell sorting. The systems and methods provided herein may use machine learning based image classification techniques to identify cells of interest within a sample of cells. The cells of interest may then be separated from the sample using mechanical, pneumatic, piezoelectric, and/or electronic devices.

The invention relates to a method and device for simultaneously measuring mass concentrations of particulates with different sizes. The method detects particulates within different size ranges in air based on laser scattering and can eliminate cross interference between the particulates within different size ranges. The device is simple in structure, can realize on-line simultaneous measurement of PM1.0, PM2.5 and PM10 with high measurement precision and low cost.

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 data receiver thread is continuously executed to receive in which signals indicating a fluid parameter. A predetermined time quantity of the signals is repeatedly buffered. Upon completion of the buffering of each predetermined time quantity of the signals, a data processing thread is initiated that executes on the just completed buffered predetermined time quantity of signals. Upon completion of each data processing thread, data from the just completed data processing thread is passed to a data plotting thread. Results of the data plotting thread are displayed on a portable electronic device while the data receiver thread is being executed.

An in-line holographic microscope can be used to analyze on a frame-by-frame basis a video stream to track individual colloidal particles' three-dimensional motions. The system and method can provide real time nanometer resolution, and simultaneously measure particle sizes and refractive indexes. Through a combination of applying a combination of Lorenz-Mie analysis with selected hardware and software methods, this analysis can be carried out in near real time. An efficient particle identification methodology automates initial position estimation with sufficient accuracy to enable unattended holographic tracking and characterization.

The invention relates to an apparatus for the inline trace analysis of a liquid, preferably of an aqueous process solution, comprising: a housing (1); a micro-channel (2) through which the liquid to be examined is allowed to flow and into which light of a light source (3) is coupled; a detector (4) for light emerging from the micro-channel (2); and a user interface (5) for monitoring and/or operating the apparatus. The micro-channel (2), the detector (4) and/or the user interface (5) are arranged in the housing (1) and/or are integrated into the housing (1), and the housing (1) has a connection (6) for feeding the liquid in the micro-channel (2) and a connection (7) for power supply of the apparatus.

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.