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

Claim 12:
13. A system for outputting microscopy images of a sample volume comprising a computing device having image processing software executed thereon, the image processing software comprising a trained recurrent neural network that is executed using one or more processors of the computing device, wherein the trained recurrent neural network is trained using matched pairs of (1) a plurality of images obtained at different axial depths within the sample volume and appended with different digital propagation matrices (DPMs) each of which represents, pixel-by-pixel, an axial distance of a user-defined or automatically generated surface within the sample volume from a plane of the input image, and (2) corresponding ground truth images captured at a correct/target focus depth defined by the corresponding DPM, the trained recurrent neural network configured to receive microscopy input images of the sample appended with a corresponding DPM and outputting one or more output image(s) of the sample from the trained recurrent neural network that are digitally propagated to one or more user-defined or automatically generated surface(s) defined by the appended DPM(s) to the microscopy input images.