A modular optical particle counter sensor and apparatus are described that consolidates counting functionality on a single main counter board and has expandable functionality through connections to plug-in system boards. The modular optical particle sensor may be directly connected to a manifold with an integrated venturi for better controlling the flow rate of the air stream passing through the apparatus for sampling.

A dynamic range is extended while suppressing an increase in a chip area.

A biological sample analyzer of the present disclosure includes: a first semiconductor photodetection element that detects first light generated by irradiation of a biological sample and generates a first signal; a second semiconductor photodetection element that detects second light reflected by the first semiconductor photodetection element among the first light and generates a second signal; and a processing circuit that acquires information regarding the first light on the basis of the first signal and the first signal.

A smart flow cytometer is disclosed including a plurality of tanks holding fluids for operation of a flow cytometer; a plurality of level sensors respectively coupled to the plurality of tanks; a plurality of valves coupled to one or more tubes for operation of the flow cytometer; one or more flow sensors coupled to the one or more tubes for monitoring flow rates; and a microcontroller coupled to the plurality of level sensors and the one or more flow sensors. The microcontroller constantly monitors fluid levels of the plurality of tanks to detect when to refill a fluid in a first tank before the first tank is completely empty and to detect when to empty a second tank before the second tank becomes completely filled with a waste fluid.

The present invention is to facilitate analysis of a plurality of analysis items. A cell analysis method for analyzing cells is provided in which data for analysis of cells contained in a sample are generated, and an artificial intelligence algorithm to be the input destination of the generated analysis data is selected from among a plurality of artificial intelligence algorithms, data indicating the properties of the cells are generated based on the analysis data via the artificial intelligence algorithm.

Among other things, the present invention is related to devices and methods of performing biological and chemical assays, such as but not limited to assay related to analysis of white blood cells.

An airborne particle-measuring device quantifies and qualifies contaminants of an air environment in clean-rooms, open spaces, and enclosed spaces such as homes, offices, industrial environments, airplanes in flight, cars and others. The device may include a sensor system, an electronics system, communications and information storage. The sensor system may include a high-power low-wavelength single-frequency continuous laser, an open-cavity high-efficiency mirror having an optical surface tuned to the laser frequency and a flow system that includes a vacuum pump to sample the air. The electronics system may be mounted on a single multilayer PC board with a microprocessor, firmware, electronics and a touch-screen LCD display. Innovations in light source, flow control, analog and digital signal processing, components integration and software allow provision of equipment in a wide range of high-complexity settings that require precise particle measurements.

A method reduces false-positive particle counts detected by an interference particle sensor module, which has a laser and a light detector. The method including: emitting laser light; providing a high-frequency signal during the emission of the laser light, a modulation frequency of the high-frequency signal being between 10-500 MHz; detecting an optical response by the light detector in reaction to the emitted laser light while providing the high-frequency signal, which is arranged such that a detection signal caused by a macroscopic object positioned between a first and second distance is reduced in comparison to a detection signal caused by the macroscopic object at the same position without providing the high-frequency signal. The high-frequency signal is provided to a tuning structure of the particle sensor module which is arranged to modify a resonance frequency of an optical resonator comprised by the laser sensor module upon reception of the high-frequency signal.

A modular optical particle counter sensor and apparatus are described that consolidates counting functionality on a single main counter board and has expandable functionality through connections to plug-in system boards. The modular optical particle sensor may be directly connected to a manifold with an integrated Venturi for better controlling the flow rate of the air stream passing through the apparatus for sampling.

Features for a quantitative biological data analysis system are described. Index sort analysis can be performed using sort electronics on a flow cytometer or other particle analysis system or after an experiment using a workstation. The sort electronics on the cytometer or other particle analysis system may generate sort decision information for the events. The sort decision information may be transmitted from the sort electronics to the workstation that may differ from the sort identified by the workstation. The feature fuse the gate information with the sorting decision information to provide an accurate representation of the sorting.

Systems and methods that provide a multitude of new ways to interact with the data are provided. One purpose of index sort analysis may be to visualize where particular cells are in the plate device and on the bi-variate plots. The user can select particular cell events either by clicking on the plate wells or by clicking and selecting an area of interest on the plots. The corresponding selection of cell events may then then be coordinated to maintain a consistent representation of the events on visualizations (e.g., one or more user interfaces).