Information processing apparatus, information processing method, and program
AssigneeFUJIFILM Corporation
InventorYasushi Shiraishi
Life of this patent
Estimating the term…
Abstract
An information processing apparatus for predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container includes at least one processor. The at least one processor extracts a feature quantity based on an appearance of the cells by performing image processing on the captured image, and predicts the success or failure of differentiation of the cells on the basis of the extracted feature quantity.
Claims17
An information processing apparatus that predicts a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing apparatus comprising:
- at least one processor configured to:
- extract a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predict the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and output a prediction result;
- and
- output an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- detecting cell nuclei from the output image based on a result of the classification;
- and
- extracting information related to the detected cell nuclei as the feature quantity.
An information processing method for predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing method comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- detecting cell nuclei from the output image based on a result of the classification;
- and
- extracting information related to the detected cell nuclei as the feature quantity.
A non-transitory computer-readable storage medium storing a program for causing a computer to execute a process of predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the process comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- detecting cell nuclei from the output image based on a result of the classification;
- and
- extracting information related to the detected cell nuclei as the feature quantity.
An information processing apparatus that predicts a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing apparatus comprising:
- at least one processor configured to:
- extract a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predict the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and output a prediction result;
- and
- output an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the at least one processor is further configured to:
- predict the success or failure of differentiation of the cells for each of a plurality of regions into which entirety of the cell-culture container is divided, by using, as the captured image, each of a plurality of region images obtained by imaging the plurality of regions;
- and
- calculate a ratio of an area for which differentiation is to be successful to a cell-culture area on the basis of prediction results about the success or failure of differentiation of the cells for the respective regions.
An information processing apparatus that predicts a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing apparatus comprising:
- at least one processor configured to:
- extract a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predict the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and output a prediction result;
- and
- output an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the cells are stem cells in an undifferentiated state.
An information processing method for predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing method comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the information processing method further comprises:
- predicting the success or failure of differentiation of the cells for each of a plurality of regions into which entirety of the cell-culture container is divided, by using, as the captured image, each of a plurality of region images obtained by imaging the plurality of regions;
- and
- calculating a ratio of an area for which differentiation is to be successful to a cell-culture area on the basis of prediction results about the success or failure of differentiation of the cells for the respective regions.
An information processing method for predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the information processing method comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the cells are stem cells in an undifferentiated state.
A non-transitory computer-readable storage medium storing a program for causing a computer to execute a process of predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the process comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the process further comprises:
- predicting the success or failure of differentiation of the cells for each of a plurality of regions into which entirety of the cell-culture container is divided, by using, as the captured image, each of a plurality of region images obtained by imaging the plurality of regions;
- and
- calculating a ratio of an area for which differentiation is to be successful to a cell-culture area on the basis of prediction results about the success or failure of differentiation of the cells for the respective regions.
A non-transitory computer-readable storage medium storing a program for causing a computer to execute a process of predicting a success or failure of differentiation of cells on the basis of a captured image obtained by imaging a cell population cultured in a cell-culture container, the process comprising:
- extracting a feature quantity based on an appearance of the cells by performing image processing on the captured image;
- predicting the success or failure of differentiation of the cells by comparing the extracted feature quantity with a determination criterion stored in a storage device, and outputting a prediction result;
- and
- outputting an instruction for preventing a cell population predicted to have unsuccessful differentiation from being introduced into a differentiation induction process based on the prediction result,
- wherein the image processing includes:
- inputting the captured image into a trained model to generate an output image in which pixels are classified into classes including a cell nucleus, cytoplasm, and a culture medium;
- and
- extracting the feature quantity based on the output image,
- wherein the cells are stem cells in an undifferentiated state.
Dependencies are inferred from the claim text.