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

Claim 17:
18. The system of claim 13, wherein the recurrent neural network is trained with a plurality of microscopy input images obtained from 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.