The purpose of the present invention is to provide a method for accurately predicting a cancer patient prognosis based on a count of desired cells for which expression of a leukocyte marker and an epithelial marker is hardly exhibited by detecting those cells. Provided is a method for diagnosing an overall survival prognosis for a patient suffering from cancer, the method including: a step of obtaining a concentrated solution containing desired cells by pre-treating a biological sample obtained from the patient; a step of optically detecting the concentrated cells; and a step of detecting the desired cells from the detected image, wherein an association is made with the overall survival prognosis diagnosis by counting the detected desired cells, and wherein the desired cells are cells confirmed by the existence of a cell nucleus and in which expression of a leukocyte marker and an epithelial marker is hardly exhibited.

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.

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.

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.

In an approach for controlling a multiphase flow configured to create a plurality of particles, a processor obtains images of a plurality of particles in a multiphase flow. A processor provides the images to a neural network adapted to determine a distribution of a spatial property of the plurality of particles from the provided images. A processor determines the distribution of the spatial property of the plurality of particles in the multiphase flow, based on the provided images, using the neural network. A processor controls the multiphase flow based on the determined distribution.

Means for analysis of a moving slurry of solid particles in a liquid medium that comprises: causing the slurry to flow with fully developed turbulence in a vertical pipe such that the flowing slurry fills the entire cross-section of the pipe; providing a transparent window in a wall of the pipe, said window being flush with an inside of the pipe; emitting light from a light source through the window, onto the flowing slurry inside the pipe in an examination zone; taking a plurality of individual measurements of individual solid particles in the flowing slurry by collecting light returned from the examination zone; collating the results of a statistically significant number of the individual measurements to provide a characteristic of the flowing slurry, as a whole.

Systems and methods classify pollutants based on multifactor analysis of data from sensors in a monitored area and contextual data from remote or local sources. Classifying a pollutant in air at a monitored area may include operating a particulate matter sensor to produce raw data representing measurements of particulate matter in the air, evaluating pulses in the raw data to determine a pulse width and a maximum for each pulse, and identifying a type for the pollutant in the air using a classification model and data including the pulse widths and the maxima of the pulses. The data use in classification may further include non-particulate measurements from local chemical or environmental sensors and contextual data from the cloud or from local user devices.

The present invention provides various methods for easily assessing cell quality of a cell production process, suitably using non-invasive visual methods and neural networks for generating predictive fluorescence images of cells to assess quality attributes. Also provided are systems and methods for carrying out such processes.

Microfluidic methods for barcoding nucleic acid target molecules to be analyzed, e.g., via nucleic acid sequencing techniques, are provided. Also provided are microfluidic, droplet-based methods of preparing nucleic acid barcodes for use in various barcoding applications. The methods described herein facilitate high-throughput sequencing of nucleic acid target molecules as well as single cell and single virus genomic, transcriptomic, and/or proteomic analysis/profiling. Systems and devices for practicing the subject methods are also provided.