The present application discloses a nanoparticle recognition device and method based on detection of scattered light with electric dipole rotation. According to the scattering model of nanoparticles, the in situ detection of particle morphology in an optical trap is realized by the methods of particle suspension control and scattered light detection and separation. Specifically, two linearly polarized laser beams are used, wherein the first laser beam suspends nanoparticles and rotates nanoparticles by adjusting the polarization direction; the polarization direction of the second linearly polarized light is unchanged, and scattered light in a specific dipole direction is excited; the change of the polarizability of the nanoparticles is deduced by monitoring the change of the light intensity of the scattered light excited by the second laser beam at the fixed position, so that particle morphology recognition is realized.

A velocimeter/nephelometer for measuring the three-dimensional velocity and/or size and/or shape of a particle. A set of laser interferometers and a set of photodiode detectors are arranged on a two-dimensional platform. Each laser interferometer produces a laser beam, with the beams intersecting within an inner area of the platform. Two of the laser interferometers produce like-oriented fringe patterns with an angular separation between the propagation direction of their beams of ninety degrees. A third of the laser interferometers produces a beam with the fringe pattern oriented orthogonal to the fringe patterns of the other two laser interferometers. Each detector is positioned and filtered to detect light from an associated laser interferometer, the light having been scattered by a particle as the particle passes through a volume of observation.

An image capturing system includes a camera unit that captures an image of a cell; a display unit; an input unit that receives input from an operator regarding a selection operation on the cell; an analyzing unit that analyzes the image corresponding to the cell to which the selection operation is given and extracts a feature amount of the cell; and a specifying unit that specifies a recommended cell. The specifying unit sets a parameter that defines a range of the cell to be selected based on the feature amount of the cell to which the selection operation is given up to a first time point. In an image including the cell obtained by image capturing at a second time point later than the first time point, the specifying unit specifies the recommended cell on which the operator is prompted to make a selection based on the parameter.

Aspects of the present disclosure include methods for characterizing particles of a sample in a flow stream. Methods according to certain embodiments include detecting light from a sample having cells in a flow stream, generating an image of an object in the flow stream in an interrogation region and determining whether the object in the flow stream is an aggregate based on the generated image. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to generate an image of an object in a flow stream and to determine whether the object is an aggregate are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods are also provided.

An automated method for operating an automated seed sampling system having a seed loading station, a seed transport subsystem, and a seed sampling station generally includes sensing whether individual seeds are successfully isolated from a bulk of seeds at the seed loading station, and sensing whether the isolated seeds are properly positioned by the seed transport subsystem adjacent the seed sampling station in preparation for removing tissue from the isolated seeds. In some aspects, the method further includes analyzing the tissue removed from the seeds for presence or absence of at least one characteristic, and selecting seeds based on presence or absence of the at least one characteristic.

An object of a device and a method for detecting a substance to be measured according to an embodiment of the present disclosure is to conveniently detect a biological substance, such as a bacterium or a fungus. The detection device according to an embodiment of the present disclosure includes a container that retains a solution containing a substance to be measured and a magnetic labeling substance that binds specifically to the substance to be measured, a flow generating unit that generates a flow in a first direction at least in the solution, a magnetic field generating unit that generates a magnetic field gradient in the solution, and a detection unit that detects composite particles, based on motion of particles in a predetermined region in the solution, the composite particles including the substance to be measured and the magnetic labeling substance bound together.

According to an aspect of the present inventive concept there is provided a light excitation and collection device for a micro-fluidic system, comprising: a light source configured to generate excitation light; a plurality of excitation waveguides, each associated with a flow channel of the micro-fluidic system; wherein each excitation waveguide is configured to receive and redirect the excitation light towards the flow channel, such that the excitation light is elastically scattered by a sample in the flow channel forming forward and side scattered light; and wherein the light excitation and collection device further comprises: at least one forward scattered light collection point; and at least one side scattered light collection point; and wherein the forward scattered light collected for all excitation waveguides is detected by a first plurality of light sensitive areas and the side scattered light collected for all excitation waveguides is detected by a second plurality of light sensitive areas, the first and the second pluralities of light sensitive areas form different groups of light sensitive areas.

The present disclosure relates to a device for detecting a concentration of predetermined particles, in particular viruses, in air, which comprises organic and/or inorganic aerosol particles, wherein the device has a supply unit for binding the aerosol particles as particles in a fluid, an imaging unit for producing an enlarged image of the particles contained in the fluid, an image capture unit for capturing and transmitting the image, and an evaluation unit for evaluating the particles depicted in the image, wherein the evaluation unit is designed to automatically detect morphological properties of the particles depicted in the image, to compare the detected morphological properties with morphological properties of the predetermined particles, and by the comparison to determine a proportion of predetermined particles in the image and the concentration of the predetermined particles in the air.

Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

A device includes a filter that enhances a beam profile of a received pulsed laser; a first optical element to direct the pulsed laser as a reference wave towards an optical sensor; an open cavity positioned between the first optical element and the optical sensor. The open cavity receives an aerosol particle, which enters the open cavity from any direction. The reference wave illuminates the aerosol particle. An illuminated particle generates and directs an object wave towards the optical sensor. A pixel array is connected to the optical sensor. The pixel array receives the reference wave and the object wave. The optical sensor creates a contrast hologram comprising an interference pattern of the illuminated particle. A processor creates an image of the illuminated particle based on the contrast hologram.