Patent ID: 11946854
Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A fluorescence microscopy method comprising:
providing a trained deep neural network that is executed by software using one or more processors;
inputting a time sequence of two-dimensional fluorescence microscopy input images of a sample to the trained deep neural network, wherein each image is appended with a digital propagation matrix (DPM) that represents, pixel-by-pixel, an axial distance of a user-defined or automatically generated surface(s) within the sample from a plane of the input image; and
outputting a time sequence of fluorescence output images of the sample from the trained deep neural network that is digitally propagated or refocused to the user-defined or automatically generated surface(s) corresponding to the DPM(s) of the input images.