A process for optically sorting a plurality of particles includes: providing a particle receiver; producing particles; receiving the particles by the particle receiver; receiving a light by the particle receiver; producing a standing wave optical interference pattern in an optical interference site of the particle receiver from the light; subjecting the particles to an optical gradient force from the standing wave optical interference pattern; deflecting the particles into a plurality of deflected paths to form the sorted particles from the particles; and propagating the sorted particles from the optical interference site through the deflected paths to optically sort the particles

A system for characterizing at least one particle from a fluid sample is disclosed. The system includes a filter disposed upstream of an outlet, and a luminaire configured to illuminate the at least one particle at an oblique angle. An imaging device is configured to capture and process images of the illuminated at least one particle as it rests on the filter for characterizing the at least one particle. A system for characterizing at least one particle using bright field illumination is also disclosed. A method for characterizing particulates in a fluid sample using at least one of oblique angle and bright field illumination is also disclosed.

An airborne, gas, or liquid particle sensor with multiple particle sensor blocks in a single particle counter. Each sensor would sample a portion of the incoming airstream, or possibly a separate airstream. The various counters could be used separately or in concert.

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.

A particle detection system may include a light source, a first beam splitter, a particle interrogation zone, a reflecting surface, a second beam splitter, a first photodetector, and a second photodetector. The first beam splitter may be configured to split the source beam into an interrogation beam and a reference beam. The particle interrogation zone may be disposed in the path of the interrogation beam. The reflecting surface may be configured to reflect the interrogation beam back on itself. The second beam splitter may be configured to: (i) receive the reference beam and side scattered light from one or more particles interacting with the interrogation beam in the particle interrogation zone; and (ii) produce a first component beam and second component beam. The first photodetector may be configured to detect the first component beam. The second photodetector may be configured to detect the second component beam.

Disclosed is a disease differentiation support method for supporting disease differentiation, the disease differentiation support method including: obtaining a first parameter obtained by analyzing an image including a cell contained in a sample collected from a subject; obtaining a second parameter regarding a number of cells contained in the sample; and generating, by using a computer algorithm, differentiation support information for supporting disease differentiation, on the basis of the first parameter and the second parameter.

A system comprises a particle sensor unit in communication with a processor. The sensor unit comprises a source that transmits light into an interrogation region; receive optics that collect scattered light from particles in the interrogation region; and an optical detector that receives the collected light from the receive optics. The detector comprises a sample area including one or more sampling pixels, and an edge region including one or more edge pixels. The processor analyzes intensity data from the detector by a method comprising: combining all intensity data from the sampling pixels; adding the combined intensity data to a data set; determining whether to accept overlap intensity data that corresponds to an overlap between the sampling pixels and the edge pixels; adding the overlap intensity data to the data set if accepted; discarding the overlap intensity data if not accepted; and discarding all non-overlapping intensity data from the edge pixels.

Aspects of the present disclosure include reconfigurable integrated circuits for characterizing particles of a sample in a flow stream. Reconfigurable integrated circuits according to certain embodiments are programmed to calculate parameters of a particle in a flow stream from detected light; compare the calculated parameters of the particle with parameters of one or more particle classifications; classify the particle based on the comparison between the parameters of the particle classifications and the calculated parameters of the particle; and adjust one or more parameters of the particle classifications based on the calculated parameters of the particle. Methods for characterizing particles in a flow stream with the subject integrated circuits are also described. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.

A method for measuring the concentration of a micro/nano particle, including: allowing the to-be-measured micro/nano particle to bind with one or more kinds of marker to form a new particle, the new particle having a change in at least one of particle size, charge state, and particle morphology compared with the to-be-measured micro/nano particle or the marker; measuring the particle size, charge state, or particle morphology of the new particle and the to-be-measured micro/nano particle or the marker, and counting the new particle and the to-be-measured micro/nano particle or the marker respectively to obtain their respective count results, and, on the basis of the count results, calculating the concentration of the to-be-measured micro/nano particle bound with the marker. The method of the present application has the advantages of high measurement accuracy, low measurement limit, and stability of chemical reagents.

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.