A method for identifying candidate target cells within a biological fluid specimen includes a digital image of the biological fluid specimen with the digital image having a plurality of color channels, identifying first connected regions of pixels of a minimum first intensity in a first channel, identifying second connected regions of pixels of a minimum second intensity in a second channel, and determining first connected regions and second connected regions that spatially overlap. For a pair of a first connected region and a second connected region that spatially overlap, whether the second connected region overlaps the first connected region by a threshold amount is determined, and if the second connected region overlaps the first connected region by the threshold amount then the portion of the image corresponding to the overlap is continued to be treated as a candidate for classification.

Aspects of the invention relate to automated cell culture incubators. In some embodiments, automated cell culture incubators comprise an integrated manipulation device having one or more cell scrapers.

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.

Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

The invention relates to a device for examining particles in a liquid to be examined, comprising a flow passage through which the liquid to be examined is moved. The flow passage has at least one inlet through which at least one sheath fluid flows into the flow passage such that the at least one sheath fluid forms at least one sheath flow in the flow passage. The device further comprises a wave generating device for piezoacoustically generating sound waves which propagate through the flow passage transversely to the flow direction of the liquid to be examined and form wave nodes on a monitoring plane such that particles to be examined of the liquid to be examined are moved onto the monitoring plane and accumulate thereon on the basis of the pressure effect of the sound waves in the transverse direction.

A special-purpose cuvette assembly with features that create a small, restricted volume to minimize bulk movements of liquid and minimize backscattering-induced broadening of light. The special-purpose cuvette assembly enables recording of Brownian movements of nanoparticles in a liquid when it is placed in a suitable optical device comprising a light sheet and an optical microscope attached to a video camera that is oriented in a direction perpendicular to the light-sheet plane.

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 differentiation system for differentiating cells includes an input device configured to receive holographic image data of a microscopic particle in suspension, holographic image data processing logic for converting the holographic image data to the frequency domain by performing a Fourier transform of the holographic image data, and a recognizer configured to determine characterization features of the holographic image data of the microscopic particle in the frequency domain for characterization of the microscopic particle, the characterization features comprising rotationally invariant features.

A label-free bio-aerosol sensing platform and method uses a field-portable and cost-effective device based on holographic microscopy and deep-learning, which screens bio-aerosols at a high throughput level. Two different deep neural networks are utilized to rapidly reconstruct the amplitude and phase images of the captured bio-aerosols, and to output particle information for each bio-aerosol that is imaged. This includes, a classification of the type or species of the particle, particle size, particle shape, particle thickness, or spatial feature(s) of the particle. The platform was validated using the label-free sensing of common bio-aerosol types, e.g., Bermuda grass pollen, oak tree pollen, ragweed pollen, Aspergillus spore, and Alternaria spore and achieved >94% classification accuracy. The label-free bio-aerosol platform, with its mobility and cost-effectiveness, will find several applications in indoor and outdoor air quality monitoring.

Provided is a determination method capable of non-destructively and simply determining a state of a sphere that is an aggregate of a plurality of cells. A phase difference image of a sphere that is an aggregate of a plurality of cells is generated from a hologram obtained by imaging the sphere, and a state of the sphere is determined on the basis of the phase difference image and a shape index value corresponding to a shape of the sphere.