Abstract: An evaluation assistance method includes: acquiring a first image to be used for performance evaluation of trained models; generating a plurality of second images, each of the plurality of second images being a result of processing the first image by each of a plurality of trained models; and displaying each of the plurality of trained models in association with a corresponding second image of the plurality of second images.

Abstract: A method for evaluating an adherent cell includes: obtaining an image of an adherent cell accommodated within a culture container; and determining whether the adherent cell is adhering to the culture container based on at least a profile shape of a contact portion of the adherent cell that is in contact with the culture container, the profile shape being specified from the image.

Abstract: Provided is a data-creation assistance apparatus which is an apparatus that assists data creation work in which an annotation is added to each cell in an image containing cells, the data-creation assistance apparatus including: a processor including hardware, the processor being configured to: acquire image data including the image; extract information related to the cells from the acquired image data; set a size of divided regions on the basis of the extracted information related to the cells; and divide the image into the divided regions; and a display that displays each of the divided regions which have been divided.

Abstract: An image processing device includes a cell analyzer that analyzes an image of cells cultured within a culture container and that acquires the number of cell divisions experienced by each cell in the image, and also includes a statistical analyzer that calculates a statistical value indicating differentiation potency of each cell in the image from the number of cell divisions acquired by the cell analyzer. The statistical analyzer creates a frequency distribution of the number of cell divisions, and the statistical value represents a bias in the frequency distribution.

Abstract: An evaluation assistance method includes: acquiring a first image to be used for performance evaluation of trained models; generating a plurality of second images, each of the plurality of second images being a result of processing the first image by each of a plurality of trained models; and displaying each of the plurality of trained models in association with a corresponding second image of the plurality of second images.

Abstract: Provided is an image-processing device that includes: a processor including hardware; the processor configured to: analyze an image of the inside of a culture vessel that cultures cells, and acquire quantitative data of living cells and quantitative data of dead cells inside the culture vessel; and generate comparison data that allows comparison of the acquired quantitative data of the living cells and the acquired quantitative data of the dead cells.

Abstract: Provided is an image-processing device that includes: a prosessor including hardware, the prosessor configured to: analyze an image of the inside of a culture vessel that cultures cells, and acquire quantitative data of living cells and quantitative data of dead cells inside the culture vessel; and generate comparison data that allows comparison of the acquired quantitative data of the living cells and the acquired quantitative data of the dead cells.

Abstract: A method for monitoring differentiation into cardiac muscle cells includes keeping, in an alive state, cells into which a reporter gene of luminescent protein configured to vary in luminescence intensity according to an expression of myocardial differentiation marker gene is introduced. The method includes acquiring a luminescence image as a still image by imaging light emitted from the cells in a light shielding state. The method includes acquiring sequential images with illuminating the cells. The method includes associating biological information obtained from the sequential images with biological information obtained from the still image.

Abstract: A method for monitoring differentiation into cardiac muscle cells includes keeping, in an alive state, cells into which a reporter gene of luminescent protein configured to vary in luminescence intensity according to an expression of myocardial differentiation marker gene is introduced. The method includes acquiring a luminescence image as a still image by imaging light emitted from the cells in a light shielding state. The method includes acquiring sequential images with illuminating the cells. The method includes associating biological information obtained from the sequential images with biological information obtained from the still image.

Abstract: The present invention provides a reagent for introducing a protein or gene into a cell. The reagent of the present invention is, for example, a reagent for introducing a protein or gene into a cell, which comprises a composition comprising a cationic amino acid type lipid represented by the following formula (I)-1: (wherein in formula (I)-1: L is a single bond, —CONH—, or —S—S—; M1 is —(CH2)k— or —(CH2CH2O)k— (wherein k is an integer between 0 and 14); and m1 and m2 are each independently an integer between 11 and 21 (in this regard, when providing a reagent for introducing a gene into a cell, the case where both m1 and m2 are 15 is excluded)).

Abstract: The present invention provides a reagent for introducing a protein or gene into a cell. The reagent of the present invention is, for example, a reagent for introducing a protein or gene into a cell, which comprises a composition comprising a cationic amino acid type lipid represented by the following formula (I)-1: (wherein in formula (I)-1: L is a single bond, —CONH—, or —S—S—; M1 is —(CH2)k— or —(CH2CH2O)k— (wherein k is an integer between 0 and 14); and m1 and m2 are each independently an integer between 11 and 21 (in this regard, when providing a reagent for introducing a gene into a cell, the case where both m1 and m2 are 15 is excluded)).