Information processing apparatus, flow cytometer system, sorting system, and information processing method

A flow cytometer system comprising:

• a laser light source that irradiates a biologically derived particle with light, the biologically derived particle flowing in a flow path;
• a photodetector that detects light from the biologically derived particle;
• and
• a dimension compression section that generates dimension-compressed data for measurement data on a basis of a learning model, the measurement data being obtained by the photodetector, wherein
• the learning model is generated by a neural network in which same data acquired from a biologically derived substance is applied to an input layer and an output layer;
• and
• a sorting control section that controls a sorting section, the sorting section sorting, on a basis of the dimension-compressed data, the biologically derived particle from which input data is acquired;
• wherein the sorting section charges a droplet, passes the droplet through deflection plates where a voltage is applied, and separates measurement targets using electrostatic attraction force.

A sorting system comprising:

• a laser light source that irradiates a biologically derived particle with light, the biologically derived particle flowing in a flow path;
• a photodetector that detects light from the biologically derived particle;
• a dimension compression section that generates dimension-compressed data for measurement data on a basis of a learning model, the measurement data being obtained by the photodetector;
• and
• a sorting section that sorts the biologically derived particle on a basis of the dimension-compressed data, wherein
• the learning model is generated by a neural network in which same data acquired from a biologically derived substance is applied to an input layer and an output layer;
• and
• the sorting section charges a droplet, passes the droplet through deflection plates where a voltage is applied, and separates measurement targets using electrostatic attraction force.

An information processing method comprising:

• generating, by an arithmetic processing device, dimension-compressed data for input data on a basis of a learning model generated by a neural network in which same data acquired from a biologically derived substance is applied to an input layer and an output layer;
• wherein the input data includes multi-dimensional data acquired from the biologically derived substance;
• and
• the input data includes data that is same as data used to generate the learning model;
• and
• the input data includes multi-dimensional data acquired from a biologically derived particle, the multi-dimensional data including fluorescence intensity or scattered light intensity;
• further comprising a sorting control section that controls a sorting section, the sorting section sorting, on a basis of the dimension-compressed data, the biologically derived particle from which the input data is acquired;
• wherein the sorting section charges a droplet, passes the droplet through deflection plates to which a voltage is applied, and separate measurement targets using electrostatic attraction force.