Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows.

ABSTRACT: Real-time 3D fluorescence microscopy is crucial for the spatiotemporal analysis of live organisms, such as neural activity monitoring. The eXtended field-of-view light field microscope (XLFM), also known as Fourier light field microscope, is a straightforward, single snapshot solution to achieve this. The XLFM acquires spatial-angular information in a single camera exposure. In a subsequent step, a 3D volume can be algorithmically reconstructed, making it exceptionally well-suited for real-time 3D acquisition and potential analysis. Unfortunately, traditional reconstruction methods (like deconvolution) require lengthy processing times (0.0220 Hz), hampering the speed advantages of the XLFM. Neural network architectures can overcome the speed constraints at the expense of lacking certainty

SUBMITTER: Vizcaino JP 

PROVIDER: S-EPMC10312789 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature