Abstract: A technique for automatically and accurately determining life or death of cells in a sample prepared without any labeling, not relying on the subjectivity of a determiner, is intended. A fluorescent specimen in which respective fluorescence generation modes in response to excitation light are different from each other between a living cell and a dead cell is prepared, and fluorescence imaging of the fluorescent specimen is performed. Bright field imaging of the fluorescent specimen is performed, and respective positions of the living cell and the dead cell are specified from a fluorescent image. Image objects in a bright field image, which are located at positions corresponding to the specified positions of the living cell and the dead cell are extracted as a living cell object and a dead cell object, respectively, and a classifier is constructed through machine learning using supervisor data including respective feature vectors of the extracted objects.

Abstract: A technique for automatically and accurately determining life or death of cells in a sample prepared without any labeling, not relying on the subjectivity of a determiner, is intended. A fluorescent specimen in which respective fluorescence generation modes in response to excitation light are different from each other between a living cell and a dead cell is prepared, and fluorescence imaging of the fluorescent specimen is performed. Bright field imaging of the fluorescent specimen is performed, and respective positions of the living cell and the dead cell are specified from a fluorescent image. Image objects in a bright field image, which are located at positions corresponding to the specified positions of the living cell and the dead cell are extracted as a living cell object and a dead cell object, respectively, and a classifier is constructed through machine learning using supervisor data including respective feature vectors of the extracted objects.

Abstract: A technique which makes it possible to more precisely evaluate how a chemical substance is efficacious upon a cell aggregate is suggested. An efficacy evaluation method for evaluating a drug efficacy of a chemical substance upon a cell aggregate inside a liquid which is contained in a container comprises: acquiring tomographic images of the cell aggregate which are imaged along cross sections which approximately match with a vertical plane (Step S102); calculating a feature amount of the cell aggregate based on the tomographic images (Step S105); and determining the drug efficacy of the chemical substance based on the calculation result of the feature amount.

Abstract: Provided is a compound represented by the following formula (I) or a pharmaceutically acceptable salt thereof: [in the formula, R1 to R5, A, and *1 to *3 are as defined in Description].

Abstract: Provided is a compound represented by the following formula (I) or a pharmaceutically acceptable salt thereof: [in the formula, R1 to R5, A, and *1 to *3 are as defined in Description].

Abstract: Disclosed herein is a process for producing erythropoietin, comprising bringing a material containing erythropoietin into contact with an adsorbent having a monoclonal anti-erythropoietin antibody, adsorbing erythropoietin on the adsorbent, and eluting the absorbed erythropoietin from the adsorbent.

Abstract: Food protein flavor is improved by enzymatic conversion of the aldehydes and alcohols in such protein.