Method and system for forecasting cell structure state
AssigneeCellVoyant Technologies Limited
InventorsSaad Mohammad, Rickard Sjögren, Edward Ren, Rafael Edgardo Carazo Salas, Elisa Pedone
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Abstract
Provided herein are methods and computing systems for predicting a future state of a cell culture based on a current state of a cell culture.
Claims33
A method of predicting a future state of a cell culture based on a current state of the cell culture, the method comprising:
- (a) receiving, by one or more processors, a request for a yield of a target cell type at a specific time in the future;
- (b) receiving, by the one or more processors, one or more images of a cell culture of the target cell type, wherein each of the one or more images include discrete image frames of the cell culture captured in real-time by an image pickup device;
- (c) providing, by the one or more processors, the one or more images of the cell culture to a machine learning system;
- (d) generating, by the machine learning system, a mathematical representation of each of the one or more images of the cell culture;
- (e) aggregating, by the machine learning system, temporal information based on the mathematical representation of each of the one or more images of the cell culture to generate spatio-temporal information;
- (f) predicting, by the machine learning system, the yield of the target cell type at the specific time in the future based on the spatio-temporal information;
- and
- (g) sending, by the one or more processors, the yield of the target cell type at the specific time to a communication device,
- wherein the communication device is configured to render the target cell type at the specific time on an output device.
A computing system for predicting a future state of a cell culture based on a current state of the cell culture, the system comprising:
- (a) a receiver configured to receive from a communication device a request for a yield of a target cell type at a specific time in the future;
- (b) one or more processors configured to receive one or more images of a cell culture of the target cell type, wherein each of the one or more images include discrete image frames of the cell culture captured in real-time by an image pickup device;
- (c) a machine learning system configured to
- receive the one or more images of the cell culture to a machine learning system,
- generate a mathematical representation of each of the one or more images of the cell culture,
- aggregate temporal information based on the mathematical representation of each of the one or more images of the cell culture to generate spatio-temporal information,
- predict the yield of the target cell type at the specific time in the future based on the spatio-temporal information;
- and
- (d) a transmitter configured to send the yield of the target cell type at the specific time to a communication device.
A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which, when executed by one or more processors, perform:
- (a) receiving, by the one or more processors, a request for a yield of a target cell type at a specific time in the future;
- (b) receiving, by the one or more processors, one or more images of a cell culture of the target cell type, wherein each of the one or more images include discrete image frames of the cell culture captured in real-time by an image pickup device;
- (c) providing, by the one or more processors, the one or more images of the cell culture to a machine learning system;
- (d) generating, by the machine learning system, a mathematical representation of each of the one or more images of the cell culture;
- (e) aggregating, by the machine learning system, temporal information based on the mathematical representation of each of the one or more images of the cell culture to generate spatio-temporal information;
- (f) predicting, by the machine learning system, the yield of the target cell type at the specific time in the future based on the spatio-temporal information;
- and
- (g) sending, by the one or more processors, the yield of the target cell type at the specific time to a communication device,
- wherein the communication device is configured to render the target cell type at the specific time on an output device.
Dependencies are inferred from the claim text.