Patent ID: 11915360
Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A microscopy method comprising:
providing a trained recurrent neural network that is executed by software using one or more processors;
inputting to the trained recurrent neural network a plurality of microscopy input images of a sample volume obtained at different axial distances therein, wherein the plurality of input images are each appended with a digital propagation matrix (DPM) that represents, pixel-by-pixel, an axial distance of a user-defined or automatically generated surface within the sample volume from a plane of the corresponding input image; and
outputting one or more output images of the sample from the trained recurrent neural network that is/are digitally propagated or refocused to the user-defined or automatically generated surface(s) defined by the DPMs.