3D deconvolution in Fourier integral microscopy

3D deconvolution in Fourier integral microscopy

DSpace Repository

3D deconvolution in Fourier integral microscopy

Show full item record

View       (1.239Mb)

Exportar a Refworks
Stefanoiu, Anca; Scrofani, G.; Saavedra Tortosa, Genaro; Martínez Corral, Manuel Perfil; Lasser, Tobias
This document is a artículoDate2020
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.

    Stefanoiu, Anca Scrofani, G. Saavedra Tortosa, Genaro Martínez Corral, Manuel Lasser, Tobias 2020 3D deconvolution in Fourier integral microscopy Proceedings of the SPIE 11396 113960I-1 113960I-8

This item appears in the following Collection(s)

Show full item record

Search DSpace

Advanced Search