The invention enables efficient, rapid, and sensitive enumeration of living cells by detecting microscopic colonies derived from in situ cell division using large area imaging. Microbial enumeration tests based on the invention address an important problem in clinical and industrial microbiology—the long time needed for detection in traditional tests—while retaining key advantages of the traditional methods based on microbial culture. Embodiments of the invention include non-destructive aseptic methods for detecting cellular microcolonies without labeling reagents. These methods allow for the generation of pure cultures which can be used for microbial identification and determination of antimicrobial resistance.

The apparati, methods, and computer program products disclosed herein can be used to nondestructively detect undissolved particles, such as glass flakes and/or protein aggregates, in a fluid in a vessel, such as, but not limited to, a fluid that contains a drug.

A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.

An imaging flow cytometer device includes a housing holding a multi-color illumination source configured for pulsed or continuous wave operation. A microfluidic channel is disposed in the housing and is fluidically coupled to a source of fluid containing objects that flow through the microfluidic channel. A color image sensor is disposed adjacent to the microfluidic channel and receives light from the illumination source that passes through the microfluidic channel. The image sensor captures image frames containing raw hologram images of the moving objects passing through the microfluidic channel. The image frames are subject to image processing to reconstruct phase and/or intensity images of the moving objects for each color. The reconstructed phase and/or intensity images are then input to a trained deep neural network that outputs a phase recovered image of the moving objects. The trained deep neural network may also be trained to classify object types.

A high-power-microscope-assisted identification method of maize haploid plants is provided, the method is implemented by a device including a high power microscope, a main frame disposed on an objective table of the high power microscope and a computer and includes four procedures of sample information input, automatic testing of a batch of samples, automatic analysis and comparison, and automatic generation of data results. Vertical sliding grooves are symmetrically formed in the main frame, and a vertical supporting plate is disposed at an upper end of the main frame. Horizontal sliding grooves are symmetrically formed in the vertical supporting plate, and a horizontal supporting plate is disposed on the vertical supporting plate.

An apparatus for nondestructive detection of transparent or reflective objects in a vessel includes an imager configured to acquire data that represent light reflected from spatial locations in the vessel as a function of time, a memory operably coupled to the imager and configured to store the data, and a processor operably coupled to the memory and configured to detect the objects based on the data by (i) identifying a respective maximum amount of reflected light, over time, for each location in the spatial locations based on the data representing light reflected from the spatial locations as a function of time, and (ii) determining a presence or absence of the objects in the vessel based on the number of spatial locations whose respective maximum amount of reflected light, over time, exceeds a predetermined value.

Aspects of the present disclosure include a method for sorting cells of a sample based on an image of a cell in a flow stream. Methods according to certain embodiments include detecting light from a sample having cells in a flow stream, generating an image mask of a cell from the sample and sorting the cell based on the generated image mask. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to generate an image mask of a cell in a sample in a flow stream and to sort the cell based on the generated image mask are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for generating an image mask and for determining one or more features of the cell are also provided.

A method of analyzing a blood sample from a subject includes loading the blood sample into a single chamber; acquiring, via an imaging system, a stack of serial focal plane images of the blood sample from a plurality of fields of view of the chamber; creating a virtual three dimensional image of the blood sample from selected ones of the stacks of serial focal plane images; and analyzing the virtual three dimensional image to identify blood formed elements within the blood sample. Identifying blood formed elements within the blood sample may include identifying a type and amount of white blood cells, and/or identifying an amount of red blood cells and/or hematocrit, and/or identifying an amount of platelets. Identifying blood formed elements within the blood sample may include determining numbers and percentage by volume in the blood sample of one or more types of white blood cells.

A measuring device according to the present technology includes a light emitting unit configured to emit light to a fluid, a light receiving unit configured to perform photoelectric conversion for incident light using an electron avalanche phenomenon by a plurality of pixels to obtain a light reception signal, and a control unit configured to perform processing of detecting a target object in the fluid on the basis of the light reception signal and execute an imaging operation of the target object on condition that the target object is detected.

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.