Methods for evaluating performance a diode laser are provided. In embodiments, methods include receiving a laser beam profile of a diode laser, determining first, second and third laser beam widths at first, second and third laser intensities, respectively, for the laser beam profile, computing a first ratio between the second and third laser beam widths, computing a second ratio between the first and second laser beam widths, evaluating laser performance based on the first and second ratios, and outputting a determination regarding the suitability of the laser for use in a flow cytometry setting. Devices for practicing the subject methods are also provided, and include first and second stages configured to receive a diode laser and beam profiler, respectively. Aspects of the invention further include flow cytometers incorporating a diode laser that has been evaluated by the subject method.

The invention relates to a method and to a device for sorting particles of a material flow into at least two fractions, the particles in the material flow being observed by means of at least one detector, particles being subjected to acoustic pressure on the basis of the properties determined by the detector so that they are supplied to different fractions.

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.

The inventive concept relates to an apparatus for treating a substrate. The apparatus includes a liquid supply unit that supplies a liquid to a substrate, a cover that is formed of a light transmitting material and installed on a component provided in the liquid supply unit and that provides an inspection area, and an inspection unit that inspects bubbles contained in the liquid flowing in the component provided in the inspection area. The inspection unit includes a light source that applies light toward the inspection area from outside the cover, a light receiving part that is located outside the cover and that receives the light passing through the inspection area, and an inspection part that inspects the bubbles from the light received by the light receiving part.

A biosensing device for continuous monitoring of an analyte in a fluid matrix includes an electromagnetic excitation element [402], a biosensing surface [406], an opposing surface [410], a separation component [420,422], light collection optics [412], a light sensor [414], an image recording and analysis system [416], and an excitation control system [400]. The separation component is connected to the biosensing surface and to the opposing surface, forming a concave gap region [408] between the biosensing surface and the opposing surface. The biosensing surface comprises biosensing particles sensitive to electromagnetic signals from the electromagnetic excitation element, where an optical response of the biosensing particles to the electromagnetic signals is adapted to change in the presence of an analyte in the gap region. The light collection optics couple light emitted from the biosensing particles on the biosensing surface to the light sensor. The image recording and analysis system is connected to the light sensor and processes light signals from the biosensing particles to determine presence or absence or concentration of the analyte in the fluid matrix.

A cell evaluation system includes physical measurement unit, a database, and evaluation unit. The evaluation unit refers to a relevance stored in the database, searches reference measurement information based on measurement information of a cell newly measured via the physical measurement unit, and evaluates the cell with biological measurement information associated with the searched reference measurement information.

Provided are an imaging system and an imaging device capable of generating a super-resolution interference fringe image of an object to be observed flowing through a flow channel. A light source that irradiates light in a first direction and irradiates light toward a flow channel through which an object to be observed flows in a second direction orthogonal to the first direction, an imaging sensor that has an imaging surface orthogonal to the first direction and on which a plurality of pixels are two-dimensionally arranged in a manner non-parallel to the second direction and that images light passing through the flow channel to output an interference fringe image, and an information processing device that generates a super-resolution interference fringe image based on a plurality of interference fringe images output from the imaging sensor are included.

An imaging flow cytometer includes at least one flow channel through which an observation target flows, a light source which irradiates the flow channel with sheet-like excitation light, an imaging unit which images a specific cross-section of the observation target by imaging fluorescence from the observation target having passed through a position irradiated with the excitation light, and a three-dimensional image generation unit which generates a three-dimensional image of the observation target as a captured image on the basis of a plurality of captured images obtained by cross-sectional imaging by the imaging unit.

Methods and systems for sorting particles are provided. Methods and systems for sorting cell beads are provided. In some cases, cell beads may be sorted from particles unoccupied with cell derivatives. In some cases, singularly occupied cell beads may be sorted from unoccupied particles and multiply occupied cell beads.

Aspects of the present disclosure include methods for identifying one or more components of a sample in a flow stream using a dynamic algorithm (e.g., a machine learning algorithm). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream, generating a data signal of parameters of the particles from the detected light, generating an image based on the data signal, comparing the image with one or more image classification parameters and classifying one or more components of the image using a dynamic algorithm that updates the image classification parameters based on the classified components in the image. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.