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.

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.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and/or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

A method comprises obtaining input data comprising a hologram of a 3-dimensional (3D) particle field, a depth map of the 3D particle field, and a maximum phase projection of the 3D particle field. The method also comprises applying a U-net convolutional neural network (CNN) to the input data to generate output data. Encoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the encoder block. Decoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the decoder block. The output data includes a channel in which pixel intensity corresponds to relative depth of particles in the 3D particle field and an output image indicating locations of centroids of the particles in the 3D particle field.

An improved method of characterizing the PSD of particles.

A solution for controlling cellulose processing includes performing optically first measurements of the cellulose during the processing, performing second measurements of the cellulose by directing optical radiation to the cellulose, the radiation including at least one beam that is polarized and at least one separate beam is non-polarized, measuring attenuations and parameters of polarization of the radiation interacted with the cellulose and determining size of particles in the cellulose based on at least one comparison of the parameters of polarization and the attenuations. The processing is controlled based on the first measurements until a given threshold of the first measurements has been reached and thereafter controlling the processing based on the second measurements.

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.

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.