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

Claim 18:
19. The system of claim 13, wherein the plurality of the ground truth images used in the training of the recurrent neural network are obtained by using one or more of the following types of microscopes: a super-resolution microscope, a STED microscope, a PALM/STORM-based microscope a confocal microscope, a confocal microscope with single photon or multi-photon excited fluorescence, a second harmonic or high harmonic generation fluorescence microscope, a light-sheet microscope, a structured illumination microscope, a TIRF-based microscope, a computational microscope, a ptychographic microscope, an optical coherence tomography (OCT) microscope, or a holographic microscope.