Abstract:
An image analysis method according one or more embodiments may analyze a form of a cell using a deep learning algorithm with a structure of a neural network. The image analysis method may include: generating data for analysis from an image for analysis in which an analysis target cell is captured; inputting the data for analysis into the deep learning algorithm; and generating data indicating a form of the analysis target cell using the deep learning algorithm.
Abstract:
To shorten the time required to sort target particles with sufficient purity, a particle sorter is provided. A particle sorter 200 including a micro flow path cartridge 10 having a first flow path 10 with a detection area 11 and a sorting area 12, a second flow path 20 for returning the target particle-containing sample 81 upstream from the detection region 11 of the first flow path 10, an installation unit 110 of the micro flow path cartridge 100, a liquid feeding unit 120, a detection unit 130 that outputs a signal corresponding to the target particles 91 passing through the detection region 11, a sorting mechanism 140 configured to perform a sorting operation of the target particle-containing sample 81 in a sorting region 12 based on the signal from the detection unit 130, and a control unit 150 for controlling the liquid feeding unit 120 so as to return the sorted target particle-containing sample 81 upstream of the detection region 11 of the first flow path 10 via the second flow path 20, and controlling the sorting mechanism 140 so as to perform a sorting operation on the returned target particle-containing sample 81.
Abstract:
The present invention relates to a marker allowing specific detection of human IL-17-producing helper T-cells (human Th17 cells), a method for specifically detecting human Th17 cells and a reagent for detecting human Th17 cells.
Abstract:
An image analysis method according one or more embodiments may analyze a form of a cell using a deep learning algorithm with a structure of a neural network. The image analysis method may include: generating data for analysis from an image for analysis in which an analysis target cell is captured; inputting the data for analysis into the deep learning algorithm; and generating data indicating a form of the analysis target cell using the deep learning algorithm.