3D deconvolution in Fourier integral microscopy

Anca Stefanoiu; Gabriele Scrofani; Genaro Saavedra; Manuel Martínez-Corral; Tobias Lasser

doi:10.1117/12.2558516

18 May 2020 3D deconvolution in Fourier integral microscopy

Anca Stefanoiu, Gabriele Scrofani, Genaro Saavedra, Manuel Martínez-Corral, Tobias Lasser

Author Affiliations +

Proceedings Volume 11396, Computational Imaging V; 113960I (2020) https://doi.org/10.1117/12.2558516
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Fourier integral microscopy (FiMic), also referred to as Fourier light field microscopy (FLFM) in the literature, was recently proposed as an alternative to conventional light field microscopy (LFM). FiMic is designed to overcome the non-uniform lateral resolution limitation specific to LFM. By inserting a micro-lens array at the aperture stop of the microscope objective, the Fourier integral microscope directly captures in a single-shot a series of orthographic views of the scene from different viewpoints. We propose an algorithm for the deconvolution of FiMic data by combining the well known Maximum Likelihood Expectation (MLEM) method with total variation (TV) regularization to cope with noise amplification in conventional Richardson-Lucy deconvolution.

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Anca Stefanoiu, Gabriele Scrofani, Genaro Saavedra, Manuel Martínez-Corral, and Tobias Lasser "3D deconvolution in Fourier integral microscopy", Proc. SPIE 11396, Computational Imaging V, 113960I (18 May 2020); https://doi.org/10.1117/12.2558516

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