In some examples, a system including a fluid stream monitoring system. The monitoring system includes an illumination device configured to illuminate at least some of particles suspended in a fluid stream; and an imaging device configured to image the illuminated particles at a first image plane that intersects a longitudinal axis of the fluid stream, wherein the illumination device and the imaging device are registered to the fluid stream delivery device in the first image plane, where the first image plane is substantially orthogonal to the longitudinal axis. The system includes processing circuitry configured to determine one or more physical characteristics of the fluid particles.

In one aspect, a method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos is featured. The method includes acquiring a first plurality of images of a region of interest including one or more capillaries of a predetermined area of a human subject from non-invasive capillary videos captured with an optical device, processing the first plurality of images to determine one or more optical absorption gaps located in said capillary, and annotating the first plurality of images with an indication of any optical absorption gap detected in the first plurality of images. The method also includes acquiring a second plurality of images of the same region of interest of the same capillary with an advanced optical device capable of resolving cellular structure of white blood cells and white blood cell subtypes and spatiotemporally annotating the second plurality of images with an indication of any white blood cell detected and/or a subtype of any white blood cell detected in the second plurality of images. The method also includes inputting the first plurality of images and annotated information from the first plurality of images and annotated information from the spatiotemporally annotated second plurality of images into a machine learning subsystem configured to determine a presence of white blood cells and/or the subtype of any white blood cells present in the one or more optical absorption gaps in the first plurality of images.

A method for identifying and enumerating candidate target cells within a biological fluid specimen is described. The method includes obtaining a biological fluid specimen, preparing the biological fluid specimen by staining cell features in the biological fluid specimen, capturing a digital image having a plurality of color channels of the biological fluid specimen, and applying image analysis to the digital image. A computer program product for identifying candidate target cells within a biological fluid specimen is also described. The computer program comprises instructions to cause a processor to carry out the image analysis.

A cell capture system including an array, an inlet manifold, and an outlet manifold. The array includes a plurality of parallel pores, each pore including a chamber and a pore channel, an inlet channel fluidly connected to the chambers of the pores; an outlet channel fluidly connected to the pore channels of the pores. The inlet manifold is fluidly connected to the inlet channel, and the outlet channel is fluidly connected to the outlet channel. A cell removal tool is also disclosed, wherein the cell removal tool is configured to remove a captured cell from a pore chamber.

A cell capture system including an array, an inlet manifold, and an outlet manifold. The array includes a plurality of parallel pores, each pore including a chamber and a pore channel, an inlet channel fluidly connected to the chambers of the pores; an outlet channel fluidly connected to the pore channels of the pores. The inlet manifold is fluidly connected to the inlet channel, and the outlet channel is fluidly connected to the outlet channel. A cell removal tool is also disclosed, wherein the cell removal tool is configured to remove a captured cell from a pore chamber.

A system and method for automated single cell capture and processing is described, where the system includes a deck supporting and positioning a set of sample processing elements (including an integrated imaging subsystem); a gantry for actuating tools for interactions with the set of sample processing elements supported by the deck; and a base supporting various processing subsystems and a control subsystems in communication with the processing subsystems. The system can automatically execute workflows associated with single cell processing, including antibody detection, other protein detection, mRNA detection, and/or other applications associated with spatial transcriptomics.

A high content analysis computing system, computer program product and method provides receiving two or more sets of microscopic images of respective sites of selected biological cell assay. Each set of microscopic images comprises one or more images having an aggregate field of view sufficient to encompass all of the cells within the respective site and a resolution sufficient to image cellular bodies within each of encompassed cells. For each set of microscopic images, a library of algorithms is executed that evaluate image features for each cell in each site producing a quantified feature measurement for each cell. Quantified feature measurements are compared for each one of the two or more sets of microscopic images. A subset of the library of algorithms is identified that discriminate at least two of the two sets or more microscopic images and deployed as a computer program product for evaluating additional biological cell assays.

The invention generally relates to analyzing yeast viability and reproduction rate of yeasts. More particularly, the invention relates to efficient and effective methods and compositions for accessing and measuring budding percentages, viability and concentration of yeast cells.

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 certain embodiments a device is provided for electrorotation flow. In certain embodiments the device comprises a microfluidic channel comprising a plurality of electrodes disposed to provide dielectrophoretic (DEP) forces that are perpendicular to hydrodynamic flows along the channel; and a fluid within the channel providing the hydrodynamic flow along the channel; wherein the device is configured to apply focusing voltages to the electrodes that provide an electric field minimum in the channel and that focus cells, particles, and/or molecules or molecular complexes within the channel; and where the device is configured to apply rotation-inducing voltages to the electrodes that induce rotation of the cells, particles, molecules and/or molecular complexes as they flow through the channel.