Patent ID: 11915134
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
training a neural network comprising one or more parameter values and that is configured to receive input data comprising one or more images of one or more biological cells, and to process respective pixels of the one or more images to predict one or more fluorescent channels of an output image of the one or more biological cells,
wherein the training comprises:
obtaining training data comprising one or more images of one or more biological cells and one or more stained images depicting the one or more biological cells, each stained image depicting the one or more biological cells according to a respective fluorescent channel of one or more fluorescent channels;
processing the one or more images through the neural network to obtain one or more fluorescent channels of a predicted output image;
determining an error between the one or more stained images and the one or more fluorescent channels of the predicted output image, comprising comparing a respective error between each pixel of each fluorescent channel of the predicted output image, with each corresponding pixel in a respective stained image corresponding to the fluorescent channel; and
updating the one or more parameter values of the neural network according to the determined error.