A flow passage is irradiated with irradiation light, and light scattered from a particle contained in a sample passing through a detection region that is formed in a prescribed section is condensed at a position obtained by extending the prescribed section in a flow direction of the sample and captured at a prescribed frame rate. Then movement amount of the particle due to Brownian motion in directions perpendicular to the flow direction on the basis of captured plural frame images. Furthermore, a particle size of the particle is determined by correcting the movement amount using correction values that were obtained in advance corresponding to each of defocus positions for correcting errors of movement amount in the images caused by magnification.

Aspects of the present disclosure include systems for detecting light from a particle by birefringent interferometry. Systems according to certain embodiments include a light source configured to irradiate a particle propagating through a flow stream, a light detection system that includes a birefringent polarizing interferometer configured to generate interfering polarized beams of light, a light adjustment component configured to continuously convey light from the irradiated particle across different positions on the birefringent polarizing interferometer as the particle is propagated through the flow stream, a photodetector configured to detect interference patterns of the interfering polarized beams of light generated by the birefringent polarizing interferometer from light collected from the irradiated particle and generate a photodetector signal pulse in response to each detected interference pattern. Systems also include a processor for transforming the photodetector signal pulses into spectral data signals. Methods for detecting light with the subject systems are also described. Kits having one or more components for detecting light according to the subject methods are also provided.

A method for monitoring the media flow of a jet of droplets is intended to enable reliable process management, especially in industrial applications, in a particularly simple and resource-saving manner. For this purpose signal signatures assigned to individual droplets are continuously recorded by time-resolved measurement of the intensity of the scattered light of a light beam crossing the droplet beam, from which a diagnostic parameter characteristic of the droplet beam is determined.

Provided herein are embodiments of methods and systems for screening cellular, subcellular, and multicellular structures. In one embodiment, a method for screening is provided comprising the steps of introducing a plurality of cellular, subcellular, or multicellular structures, or a combination thereof, to an imaging system, wherein one or more structures of the plurality comprise one or more taggable markers; imaging the plurality of structures using the imaging system; identifying one or more target structures among the plurality of structures based on one or more properties of the target structures; tagging the target structures to produce tagged target structures, wherein each target structure is selectively illuminated by an excitation light, thereby causing one or more taggable markers within the target structure to be phototransformed to produce one or more phototransformed taggable markers within the target structure; and isolating one or more tagged target structures from the plurality of structures.

A method and apparatus for particle counting and wavelength or angle performed in combination in order to characterize an aerosol is disclosed. In one example, data regarding particle counting (such as from an optical particle sensor) and data regarding angle or wavelength (such as from an ensemble measurement sensor) may be separately generated, with the separately generated data being analyzed in combination in order to characterize the aerosol. In another example, data regarding particle counting and regarding angle or wavelength may be generated in combination in order to characterize the aerosol.

To provide an adjusting method of a positional relationship between a flow path position and a light irradiation position.

The present technology provides a position adjusting method provided with an imaging step of imaging, while moving a flow path through which a microparticle is able to flow in an optical axis direction, the flow path in a plurality of positions in the optical axis direction, a movement step of moving the flow path in the optical axis direction on the basis of a focus index for each of a plurality of images acquired at the imaging step, and an adjustment step of specifying a feature position of the flow path from an image of the flow path in a position after movement at the movement step, and adjusting a positional relationship between the feature position and a reference position in a direction perpendicular to the optical axis direction.

A method including selecting image data of a mechanical mud separation machines (“MMSM”) to detect objects in an object flow and other operational conditions at the MMSM. The image data may be processed by a Deep Neural Network to identify objects in the object flow, operational parameters of the MMSM, and environmental conditions. Additional image data may be selected for additional processing based on the results of the analysis.

Examples disclosed herein generally relate to systems and methods for detecting the size of a particle in a fluid. In one example, a system for imaging a particle includes a first imaging device. The first imaging device includes a lens and a digital detector. The system further includes a laser source. He laser source is configured to emit a first laser beam and a second laser beam. The digital detector is configured to accumulate a metric of an intensity of an accumulated light that passes through the lens. The accumulated light is scattered from the particle. The accumulated light includes light from the first laser beam and the second laser beam.

A method including selecting image data of a mechanical mud separation machines (“MMSM”) to detect objects in an object flow and other operational conditions at the MMSM. The image data may be processed by a Deep Neural Network to identify objects in the object flow, operational parameters of the MMSM, and environmental conditions. Additional image data may be selected for additional processing based on the results of the analysis.

A method serves for determining particles (3), in particular bacteria in fluid and operates using an imaging optical device with a light source (1), with an optical sensor (4) with a field of light-sensitive pixels and with a fluid sample, which is to be examined, arranged between the light source (1) and the sensor (4). Characteristics of at least one particle (3), which is detected with regard to imaging, are compared to characteristics of a characteristics collection for determining the detected particle (3). The image acquisition is effected with darkfield technology and a light-sensitive pixel comprises several subpixels which are used for image acquisition.