A method, system and apparatus for anti-sorting particles is disclosed. In an example embodiment, particles move in a fluid along a microfluidic channel. A measurement device determines which particles are selected or desired particles by measuring a desired characteristic of the particles and outputting an associated signal. The energy source continuously imparts a force on unselected or undesired particles in a deflection region of the microfluidic channel to remove the unselected or undesired particles from the stream of particles. Based upon the signal outputted by the measurement device, the energy source is controlled to reduce or eliminate the force on selected particles such that the selected particles flow on a natural or expected flow path to a collection area such as an output channel. By avoiding application of force to desired particles, the anti-sorting systems and methods can improve viability and other characteristics of the desired particles.

A bubble measurement system includes a bubble detector including a vessel having a flow path configured to receive a flow of fluid includes air bubbles from a bubble generator. The bubble measurement system includes an imaging system having an imaging device for imaging the fluid and air bubbles in the flow path of the vessel of the bubble detector. The imaging system has an imaging controller coupled to the imaging device and receiving images from the imaging device. The imaging controller processes the images to measure bubble size of each air bubble passing through the bubble detector.

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 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.

To improve a determination accuracy when determining each particle contained in an image of an object. An image analysis apparatus according to an embodiment of the present invention includes: a shape determination unit configured to determine a shape of a particle included in a particle image that is extracted from an image of an object, so that an OK particle image which is a particle image of an OK particle that satisfies a predetermined standard for shape and a provisional NG particle image which is a particle image of a provisional NG particle that does not satisfy the predetermined standard, are obtained; a pseudo image generation unit configured to generate a pseudo image; and a similarity determination unit configured to determine whether the provisional NG image and the pseudo image are similar.

Particulate sensing systems or processes identify particulates suspended in an air sample by irradiating the air sample with UV light and measuring light from individual particles in the air sample. Two photodiodes having different wavelength sensitivity may be used to measure the fluorescent light emitted from a single particle, and a type of the particle may be identified using outputs from photodiodes. Repeating the process for multiple particles may produces distributions that further distinguish or identify particulate types.

A device for analyzing cell morphology and a method for identifying cells are provided. A digital camera photographs a cell image of a blood sample under a low-magnification objective lens. A processor identifies and positions suspected cells of preset type in the cell image to obtain an identification result. Based on the identification result and a target number, the processor determines a number of suspected cells of preset type to be identified and positioned under the low-magnification objective lens. The digital camera further photographs, under a high-magnification objective lens, the suspected cells of preset type identified and positioned, and then the processor identifies whether the suspected cells of preset type photographed are cells of preset type, to count the number of cells of preset type photographed under the high-magnification objective lens and obtain a statistical value. If the statistical value≥the target number, photographing is stopped.

Provided are cell image analysis devices and sample analysis methods. A sample smear of a test sample is imaged by an imaging device in an assigned analysis mode to obtain first cell images of the test sample, which are identified and analyzed by a control device. If it is identified that there is preset abnormality in the sample smear, an analysis mode different from the assigned analysis mode and corresponding to the present abnormality is determined as an additional analysis mode, and the imaging device is controlled to image the sample smear in the additional analysis mode. The additional analysis mode matches with the preset abnormality, so that the imaging device is allowed to obtain cell images in the additional analysis mode, to identify and analyze the cell images matching the preset abnormality, thereby increasing processing efficiency and accuracy of processing result.

An apparatus for detecting a processing tool defect is provided. The apparatus includes a processing tool having a processing chamber configured to process a semiconductor wafer. The processing chamber includes a gas inlet and a gas outlet. An exhaust pipe is connected to the gas outlet of the processing chamber. A particle counter is configured to real-time measure a parameter of particles in the exhaust pipe. A method for detecting a processing tool defect is also provided in the present disclosure.

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.