The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

Methods and systems for operating a flow cytometer can include forward scatter values, side scatter values, and fluorescence intensity values for events of an unstained sample and associating the fluorescence intensity values with forward scatter-side scatter side scatter plot regions. Methods and systems for operating a flow cytometer can also include measuring forward scatter values, side scatter values, and fluorescence intensity values for events of a stained sample, determining forward scatter-side scatter plot locations for the events of the stained sample, and for each event of the stained sample, subtracting the fluorescence intensity value associated with the forward scatter-side scatter plot region that contains the forward scatter-side scatter plot location of the stained sample event from the measured fluorescence intensity value of the stained sample event at that forward scatter-side scatter plot location.

In a configuration for analyzing data of cells measured by a cell measuring apparatus, accuracy of cell classification is improved without requiring the cell measuring apparatus to have high information processing capability. A cell analysis method, using a cell analyzer for analyzing cells in accordance with an artificial intelligence algorithm, includes: obtaining the data regarding the cells measured by the cell measuring apparatus; analyzing the data to generate information regarding a cell type of each of the cells; and transmitting the information to the cell measuring apparatus.

Disclosed is an apparatus and method for fluorescence excitation and detection. The apparatus comprises one or more light sources for providing excitation light for fluorescence excitation at an observation spot along an optical axis for excitation, an optical collection element for collecting fluorescence light generated by the excitation light at two or more different observation spots into two or more different measurement channels with an optical axis for collecting non-parallel to the optical axis for excitation of each of the one or more light sources, and, for each of the two or more measurement channels and thereby for each of the two or more observation spots, a dedicated optical detector for detecting fluorescence from the fluorescence light collected by the optical collection element.

Aspects of the present disclosure include methods for producing an output laser beam having two or more angularly deflected laser beams (e.g., for irradiating a sample in a flow stream) with a predetermined intensity profile. Systems for practicing the subject methods having a laser, an acousto-optic device, a radiofrequency generator and a controller for adjusting the amplitude of the radiofrequency drive signals to produce an output laser beam of angularly deflected laser beams with a predetermined intensity profile are also described.

The present invention is directed to methods and devices capable of target analyte separation and analysis, in particular highly sensitive separation and detection and free-solution analyte detection assays.

Systems and methods taught herein enable simultaneous forward and side detection of light originating within a microfluidic channel disposed in a substrate. At least a portion of the microfluidic channel is located in the substrate relative to a first side surface of the substrate to enable simultaneous detection paths with respect to extinction (i.e., 0°) and side detection (i.e., 90°). The location of the microfluidic channel as taught herein enables a maximal half-angle for a ray of light passing from a center of the portion of the microfluidic channel through the first side surface to be in a range from 25 to 90 degrees in some embodiments. By placing at least the portion of the microfluidic channel proximate to the side surface of the substrate, a significantly greater proportion of light emitted or scattered from a particle within the microfluidic channel can be collected and imaged on a detector as compared to conventional particle processing chips.

Disclosed herein are systems, methods, and techniques for optical detection of analytes (e.g., biomarkers or other objects) using a liquid-core waveguide in which the analytes are suspended in a high-index liquid inside a liquid channel of the waveguide. The term “high-index” may indicate a refractive core index of the carrier liquid that is higher than or equal to that of one or more surrounding cladding layer(s) (e.g., ethylene glycol liquid inside a glass channel). In some embodiments, a method includes illuminating, by a light-source, one or more particles in a liquid-core waveguide, wherein the liquid-core waveguide comprises a first cladding layer having a first index of a refraction, and a hollow core comprising a liquid inside the hollow core, wherein the liquid has a second index of refraction higher than the first index of refraction; and detecting, by a detector, light emitted from the one or more particles.

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.

An observation apparatus includes a light source unit, an irradiation optical system, an imaging optical system, a modulation unit, an imaging unit, an analysis unit, beam splitters and, and mirrors. The analysis unit obtains a real part of a function χ(t)=log [1+U.sub.obj(t)/U.sub.ref(t)], defined by time series data U.sub.obj(t) of a complex amplitude image of object light on an imaging plane and time series data U.sub.ref(t) of a complex amplitude image of reference light on the imaging plane, based on time series data I(t) of an intensity image of interference light on the imaging plane and time series data I.sub.ref(t) of an intensity image of the reference light on the imaging plane. Further, the analysis unit obtains an imaginary part of χ(t) from the real part of χ(t) using the Kramers-Kronig relations, and further obtains U.sub.obj(t).