Abstract: Method for evaluating cardiomyocytes using Raman scattering: a Raman spectrum of cardiomyocytes artificially induced to differentiate from pluripotent stem cells is acquired, an intensity of Raman-scattered light for a protein containing at least one of heme b and heme c as a prosthetic group is acquired from the Raman spectrum, and a state of progress of maturation of the cardiomyocytes is evaluated on the basis of the intensity of the Raman-scattered light. Method for evaluating differentiation into cardiomyocytes using Raman scattering: cells which are pluripotent stem cells are artificially induced to differentiate into cardiomyocytes, a Raman spectrum of the cells induced to differentiate is acquired, an intensity of Raman-scattered light for at least one of heme b and heme c is acquired from the Raman spectrum, and a state of progress of differentiation of the cells into cardiomyocytes is evaluated on the basis of the intensity of the Raman-scattered light.

Abstract: Disclosed is an analytical method for analyzing a test substance contained in a measurement sample, the method comprising: generating a data set based on a plurality of optical spectra acquired from a plurality of locations in the measurement sample; inputting the data set into a deep learning algorithm having a neural network structure; and outputting information on the test substance, on the basis of an analytical result from the deep learning algorithm.

Abstract: The present invention provides a method for evaluating intracellular or extracellular enzyme activity of CYP enzyme group, including a step of measuring the number of molecules of oxidized CYP enzyme group.

Abstract: Disclosed is a preparation method for preparing a measurement sample comprising an aggregate of metal nanoparticles having an analyte bound thereto, the preparation method comprising: contacting the analyte with a linker to bind the analyte to the linker; and contacting the linker that has been bound to the analyte with the metal nanoparticles to bind the linker to the metal nanoparticles.

Abstract: Disclosed is an analytical method for analyzing a test substance contained in a measurement sample, the method comprising: generating a data set based on a plurality of optical spectra acquired from a plurality of locations in the measurement sample; inputting the data set into a deep learning algorithm having a neural network structure; and outputting information on the test substance, on the basis of an analytical result from the deep learning algorithm.