Method for classifying cells using cell autofluorescence image, and analysis device

An analysis apparatus comprising an image acquisition device and an image processing device,

• wherein the image acquisition device is configured to acquire an autofluorescence image regarding a plurality of cells, and
• wherein the image processing device is configured to:
• acquire autofluorescence information regarding the plurality of cells through use of the autofluorescence image;
• acquire region information indicating a region of each individual cell in the autofluorescence image;
• extract the autofluorescence information on the individual cells from the autofluorescence information regarding the plurality of cells and the region information;
• and
• classify, using unsupervised machine learning, the plurality of cells into two or more groups by performing clustering through use of the autofluorescence information on the individual cells.

A method comprising:

• acquiring autofluorescence information regarding a plurality of cells through use of an autofluorescence image regarding the plurality of cells;
• acquiring region information indicating a region of each individual cell in the autofluorescence image;
• acquiring an image for region extraction regarding the plurality of cells that is different from the autofluorescence image regarding the plurality of cells,
• wherein the region information is acquired through use of the image for region extraction regarding the plurality of cells;
• extracting the autofluorescence information on the individual cells from the autofluorescence information regarding the plurality of cells and the region information;
• and
• classifying the plurality of cells into two or more groups by performing clustering through use of the autofluorescence information on the individual cells.