Systems and methods for identifying a cell suspension with therapeutic potential for skin regeneration and related compositions are disclosed herein. In some variations, a method may include receiving a cell suspension that comprises a population of viable cells and non-viable cells, then measuring a value indicative of at least one characteristic of the cell suspension, such as but not limited to one or more of total cell count, total cell viability, cell viability percentage, and median live cell diameter. A cell suspension composition having therapeutic potential may comprise a cell suspension met certain thresholds relating to total cell count, total viable cell count, cell viability percentage, and median live cell diameter.

The present technology is to provide technology for appropriately visualizing a population of particles in particle analysis technology.

There is provided an information processing apparatus including an information processing unit that receives optical data obtained from particles, and calculates a parameter that specifies a display method of the optical data in a display range having at least one axis including a linear axis and a logarithmic axis on the basis of the received optical data, in which the parameter includes a first parameter that specifies a range of the linear axis and a second parameter that specifies a lower limit value of the display range, and the first parameter and the second parameter are calculated on the basis of different reference values.

To provide a technique for easily grasping an influence of correction processing on a two-dimensional plot.

The present technology provides an information processing apparatus including a two-dimensional plot generation unit that generates a two-dimensional plot on the basis of fluorescence data obtained from a particle population labeled with a plurality of fluorescent bodies, and generates a two-dimensional plot group regarding any one fluorescent body of the plurality of fluorescent bodies and each of all the other fluorescent bodies on the basis of correction processing on the two-dimensional plot. Furthermore, the present technology also provides an information processing method including a two-dimensional plot group generation process of generating the two-dimensional plot group, and a program for causing an information processing apparatus to execute a two-dimensional plot group generation process of generating the two-dimensional plot group.

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.

Provided are a sample analyzer and a sample analysis method. The sample analyzer includes: a sampling apparatus configured to collect a blood sample; a sample preparation apparatus configured to mix the blood sample with a hemolytic agent and a dye to prepare a test sample liquid; an optical detection apparatus configured to detect side-scattered light signals and fluorescence signals generated by particles in the test sample liquid; and a processor configured to: generate a scatter diagram based on at least the side-scattered light signals and the fluorescence signals, and obtain a predetermined feature region, wherein an intensity of side-scattered light corresponding to a central position of the predetermined feature region is greater than an intensity of side-scattered light corresponding to a central position of a region containing neutrophil granulocyte population; and obtain a blast cell parameter based on the predetermined feature region.

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.

A microfluidic chip for focussing a stream of particulate containing fluid comprises a sample microfluidic channel configured to receive the stream of particulate containing fluid, a guidance microfluidic channel having a polygonal cross-sectional area and configured to receive a stream of guidance fluid, and a common microfluidic channel having a polygonal cross sectional area formed by the merging of the sample microfluidic channel and the guidance 10 microfluidic channel at an oblique angle along only part of one or more sides of the guidance microfluidic channel, and a detection zone disposed in the common microfluidic channel having one or more sensors. The merging of the sample microfluidic channel and the guidance microfluidic channel is configured to provide a composite fluid stream containing a focussed beam of particulates that is disposed asymmetrically in the common microfluidic channel 15 adjacent a corner or side of the common microfluidic channel and wherein the one or more sensors are configured for sensing a characteristic of the focussed beam of particulates in the common channel.

A suitable fluorescence separation method is set according to an object to be measured. An information processing device according to an embodiment includes a separation unit (14) that calculates, from a fluorescence signal measured from a biological sample labeled with one or more fluorescent dyes, fluorescence intensities of one or more fluorescent beams and an autofluorescent beam emitted from the one or more fluorescent dyes and the biological sample, respectively, by an arithmetic operation using a least squares method using a fluorescence spectrum reference of each of the fluorescent dyes and an autofluorescence spectrum of the biological sample. In the arithmetic operation using the least squares method, an upper limit value and a lower limit value of the fluorescence intensity are set for each of the one or more fluorescent beams and the autofluorescent beam.

Aspects of the present disclosure include methods for identifying one or more components of a sample in a flow stream using a dynamic algorithm (e.g., a machine learning algorithm). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream, generating a data signal of parameters of the particles from the detected light, generating an image based on the data signal, comparing the image with one or more image classification parameters and classifying one or more components of the image using a dynamic algorithm that updates the image classification parameters based on the classified components in the image. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.

The invention encompasses analyzers and analyzer systems that include a single molecule analyzer, methods of using the analyzer and analyzer systems to analyze samples, either for single molecules or for molecular complexes. The single molecule uses electromagnetic radiation that is translated through the sample to detect the presence or absence of a single molecule. The single molecule analyzer provided herein is useful for diagnostics because the analyzer detects single molecules with zero carryover between samples.