Noise-robust phase-space deconvolution for light-field microscopy.

ABSTRACT:

Significance

Light-field microscopy has achieved success in various applications of life sciences that require high-speed volumetric imaging. However, existing light-field reconstruction algorithms degrade severely in low-light conditions, and the deconvolution process is time-consuming.

Aim

This study aims to develop a noise robustness phase-space deconvolution method with low computational costs.

Approach

We reformulate the light-field phase-space deconvolution model into the Fourier domain with random-subset ordering and total-variation (TV) regularization. Additionally, we build a time-division-based multicolor light-field microscopy and conduct the three-dimensional (3D) imaging of the heart beating in zebrafish larva at over 95 Hz with a low light dose.

Resul

SUBMITTER: Zhu T 

PROVIDER: S-EPMC9319196 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature