Open AccessDeriving high contrast fluorescence microscopy images through low contrast noisy image stacks
Author(s) -
Sebastián Acuña,
Mayank Roy,
Luis E. Villegas-Hernández,
Vishesh Dubey,
Balpreet Singh Ahluwalia,
Krishna Agarwal
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.422747
Subject(s) - contrast (vision) , deconvolution , microscopy , differential interference contrast microscopy , point spread function , optics , fluorescence microscope , fluorescence , light sheet fluorescence microscopy , interpretability , artificial intelligence , computer science , materials science , physics
Contrast in fluorescence microscopy images allows for the differentiation between different structures by their difference in intensities. However, factors such as point-spread function and noise may reduce it, affecting its interpretability. We identified that fluctuation of emitters in a stack of images can be exploited to achieve increased contrast when compared to the average and Richardson-Lucy deconvolution. We tested our methods on four increasingly challenging samples including tissue, in which case results were comparable to the ones obtained by structured illumination microscopy in terms of contrast.