A stable and efficient system that determines a multinucleated state of myoblast cells, the system including a storage unit that stores a cell culture substrate containing the myoblast cells, a measurement unit that measures a shape of the myoblast cells, and an analysis unit that calculates the number of nuclei in the individual myoblast cells based on a parameter.

A vacuum manifold for filtration microscopy includes a manifold top having multiple openings, and a capture membrane positioned above and spaced apart from the manifold top, where the capture membrane is configured to deflect into contact with a surface of the manifold top when a negative pressure is applied to the multiple openings. A method for filtration microscopy includes the steps of providing a vacuum manifold including a manifold top having a plurality of openings, and a capture membrane positioned above and spaced apart from the manifold top; applying sample drops to sample spots on the membrane, the sample spots positioned above the plurality of openings; applying a negative pressure to the openings such that the capture membrane contacts a surface of the manifold top; and optically imaging particulates on the capture membrane.

A differential emissivity imaging device for measuring evaporable particle properties can include a heated plate, a thermal camera, a memory device, and an output interface. The heated plate can have an upper surface oriented to receive falling evaporable particles. The evaporable particles have a particle emissivity and the upper surface has a plate surface emissivity. The thermal camera can be oriented to produce a thermal image of the upper surface. A memory device can include instructions that cause the imaging device to calculate a mass of the individual evaporable particle via heat conduction using a calculated surface area and an evaporation time.

The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

This lensless imaging system comprises a receiving support configured to receive a sample, a light source configured to emit a light beam illuminating the sample in an illumination direction, the light source including a diode and a diaphragm, the diaphragm being positioned between the diode and the receiving support in the lighting direction, and a matrix photodetector configured to acquire at least one image of the sample, each image being formed by radiation emitted by the illuminated sample and including at least one elementary diffraction pattern, the receiving support being positioned between the light source and the matrix photodetector in the illumination direction.

The system further comprises a light diffuser positioned between the diode and the diaphragm.

In flow cytometry, particles (2) can be distinguished between populations (8) by combining n-dimensional parameter data, which may be derived from signal data from a particle, to mathematically achieve numerical results representative of an alteration (48). An alteration may include a rotational alteration, a scaled alteration, or perhaps even a translational alteration. Alterations may enhance separation of data points which may provide real-time classification (49) of signal data corresponding to individual particles into one of at least two populations.

Provided are a cell imaging device and a cell imaging method that can shorten the time period of taking images of cells in a liquid sample, compared with conventional techniques. This cell imaging device introduces a urine sample containing cells into an internal space of a sample cell, moves at least one of the sample cell and an objective lens in a second direction while at least one of the sample cell and the objective lens is moved in a first direction, the second direction being different from the first direction, and takes, at a plurality of imaging positions, images of cells contained in the urine sample by means of an imaging unit.

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.

The invention provides novel sample chambers, units and multi-well plates, and systems and methods thereof, for built-in measurement assurance of cell counting methods and calibrated and/or quality-assured measurement and analysis of diverse types of biological cells, e.g., cell count, cell size, cell concentration, cell sub-population, cell morphology, cell viability, etc.

Embodiments disclose a device for testing biological specimen. The device includes a sample carrier and a detachable cover. The sample carrier includes a specimen holding area. The detachable cover is placed on top of the specimen holding area. The detachable cover includes a magnifying component configured to align with the specimen holding area. The focal length of the magnifying component is from 0.1 mm to 8.5 mm. The magnifying component has a linear magnification ratio of at least 1. Some embodiments further include a multi-camera configuration. These embodiments include a first camera module and a second camera module arranged to capture one or more images of the first holding area and the second holding area, respectively. The processor may perform different analytic processes on the captured images of different holding areas to determine an outcome with regard to the biological specimen.