Abstract:
The present invention provides a method for determining differentiation level of pluripotent stem cell, comprising a step of determining a flatness of cultured pluripotent stem cell, wherein the flatness is an indication.
Abstract:
The identification apparatus includes a quantitative phase image acquisition unit, a feature quantity extraction unit, a learning unit, a storage unit, and an identification unit. The feature quantity extraction unit extracts a feature quantity of a quantitative phase image of a cell. The learning unit performs machine learning for a quantitative phase image of a known cell of which a type is known based on the feature quantity extracted by the extraction unit. The storage unit stores a result of the machine learning by the learning unit. The identification unit determines, based on the feature quantity extracted by the extraction unit for the quantitative phase image of an unknown cell of which a type is unknown, the type of the unknown cell using the learning result stored by the storage unit.
Abstract:
The present invention provides a method for determining differentiation level of pluripotent stem cell, comprising a step of determining a flatness of cultured pluripotent stem cell, wherein the flatness is an indication.
Abstract:
An aggregated cell evaluation apparatus includes a laser light source, a speckle image acquisition unit, an SC calculation unit, an evaluation unit, and a memory unit. The speckle image acquisition unit acquires a two-dimensional speckle image by forward scattered light generated in aggregated cells by irradiation of the aggregated cells with laser light output from the laser light source. The SC calculation unit calculates a speckle contrast value Kn of a speckle image In at each time tn, determines a maximum value Kmax among the speckle contrast values K1 to KN, and normalizes the speckle contrast value Kn at each time tn by the maximum value Kmax to obtain a normalized speckle contrast value Kn′. The evaluation unit evaluates motion of the aggregated cells, based on the normalized speckle contrast value Kn′ at each time tn.