Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction.

ABSTRACT:

Background

Structured illumination microscopy (SIM) is a method that can be used to image biological samples and can achieve both optical sectioning and super-resolution effects. Optimization of the imaging set-up and data-processing methods results in high-quality images without artifacts due to mosaicking or due to the use of SIM methods. Reconstruction methods based on Bayesian estimation can be used to produce images with a resolution beyond that dictated by the optical system.

Findings

Five complete datasets are presented including large panoramic SIM images of human tissues in pathophysiological conditions. Cancers of the prostate, skin, ovary, and breast, as well as tuberculosis of the lung, were imaged using SIM. The samples are available commercially and are standar

SUBMITTER: Johnson KA 

PROVIDER: S-EPMC7155289 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature