The present invention relates to a method for screening an antibody or antigen-binding fragment thereof by using cells bearing magnetic beads and, more particularly, to a method for screening an antibody binding specifically to an antigen protein or an antigen-binding fragment thereof, in which cells having biotinylated phospholipids in the cell membranes thereof and a streptavidin-magnetic bead complex fused to the surfaces thereof, and a magnetic-based system are utilized.

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.

A method for evaluating a biological material for unassociated virus-size particles having a particular epitope uses a fluorescent antibody stain specific for binding with the epitope and a fluid sample with the virus-size particles and fluorescent antibody stain is subjected to flow cytometry with identification of fluorescent emission detection events indicative of passage through a flow cell of a flow cytometer of unassociated labeled particles of virus size including such a virus-size particle and fluorescent antibody stain.

A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

This technology relates in part to optical methods for analyzing particles, including nanoparticles, thereby determining their presence, identity, origin, size and/or number in a sample of interest.

A system and a method for sorting particles are provided. An example of a particle sorting system includes an array that includes a number of microfluidic ejectors. An optical sensor is focused on the array. A controller is used to identify a target particle proximate to a microfluidic ejector, and activate the microfluidic ejector to eject the target particle into a collection vessel.

A main object of the present technology is to provide a technology for automatically presenting a better combination of fluorescent markers. The present technology provides an information processing system including an information processing device that includes a calculation processing unit that calculates an objective function regarding a combination of a biomolecule, the biomolecule being a labeling target in a sample, with a labeling phosphor, on the basis of first data listing information on the biomolecule, and second data listing information on the labeling phosphor, and an assignment information output unit that outputs information on assignment of the labeling phosphors to respective biomolecules, the information being generated on the basis of combination information acquired from a combinatorial optimization processing unit on the basis of a coefficient of the objective function.

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.

This disclosure relates to methods for enriching a first population of cells positive for a target moiety and/or a second population of cells positive for the target moiety from a sample, wherein a level of the target moiety among the first population of cells is relatively lower than the level of the target moiety among the second population of cells. The methods of this disclosure may also be adapted to assays for determining distinct populations of cells positive for a target moiety in a sample, and to assays for optimizing enrichment conditions. Last, this disclosure relates to kits of components that may be used to carry out the methods and assays.

Disclosed are an antibody combination for one-step screening and/or diagnosis of clonal diseases and application thereof. The antibody combination includes eight groups of antibodies, and is a set of flow cytometry detection panels for one-step screening and/or diagnosis of clonal diseases, and 5-tube parallel is used for one sample, the first group of antibodies and the second group of antibodies are used for samples in different flow cytometry tubes, the third group of antibodies and the sixth group of antibodies are used for samples in the same flow cytometry tube, the fourth group of antibodies and the seventh group of antibodies are used for samples in the same flow cytometry tube, and the fifth group of antibodies and the eighth group of antibodies are used for samples in the same flow cytometry tube.