A system and method for automated analysis of a filter obtained from an air quality monitoring apparatus used for sampling airborne respirable particles such as asbestos fibres, synthetic mineral fibres, pollen or mould particles is described. The system comprises capturing images at a plurality of sample locations. At least one magnified phase contrast image is obtained at each sample location. An automated quality assessment is then performed using a computer vision method to assess one or more quality criteria. Failure may lead to the sample location being ignored for subsequent analysis, or the whole filter slide may be rejected if the overall quality is poor. The quality assessment may performed be in two stages comprising an overall filter quality assessment performed on a series of low power/magnification images captured over the filter and a field of view or graticule level quality assessment performed on high power/magnification images captured at individual sample locations on the filter. Images which pass the quality assessment are then analysed using a computer vision method to identify and count the number of respirable particles.

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 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.

A method of generating smear quality control information according to an embodiment may include: obtaining a plurality of image data from a plurality of smears, respectively; obtaining, from the plurality of image data, feature values each of which reflects a staining state of each smear; and generating quality control information based on the feature values.

An example system includes an input channel having a first end and a second end to receive particles through the first end, a sensor to categorize particles in the input channel into one of at least two categories, and at least two output channels. Each output channel is coupled to the second end of the input channel to receive particles from the input channel, and each output channel is associated with at least one category of the at least two categories. Each output channel has a corresponding pump operable, based on the categorization of a detected particle in a category associated with a different output channel, to selectively slow, stop, or reverse a flow of particles into the output channel from the input channel.

Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).

Techniques in connection with the use of a multi-pixel polarization filter in the light-microscopic examination of a sample object are described. In this way e.g. a particle analysis can be carried out, e.g. in particular for determining the technical cleanness of a surface of the sample object.

The present disclosure relates to a flow cell carrier. The flow cell carrier may include a flow cell and a frame. The frame may include a pocket and a handle. The pocket may have at least one spring feature and at least one banking feature. The frame may be configured to retain the flow cell within the pocket such that a maximal surface area of the flow cell is exposed to an optical lens. Related methods and kits are also disclosed.

An online measurement device for crystal size and shape in a high-solid-content crystallization process includes a solution amplifier, a measurement device, a peristaltic pump, a crystallization kettle, a dilution device and a solution storage tank. A crystal-containing solution is arranged in the crystallization kettle; an inner wall of the solution amplifier is smooth, one end is an amplification end, and the other end is a contraction end. The contraction end is communicated with one end of the solution storage tank and one end of the crystallization kettle. The amplification end is communicated with the dilution device and the peristaltic pump. The peristaltic pump is communicated with the other end of the crystallization kettle. The solution amplifier, the peristaltic pump and the crystallization kettle form a complete passage through a pipeline. A measurement instrument of the measurement device is arranged at the outer side of the solution amplifier.

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.