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ABSTRACT: Significance
Current super-resolution imaging techniques allow for a greater understanding of cellular structures; however, they are often complex or only have the ability to image a few cells at once. This small field of view (FOV) may not represent the behavior across the entire sample, and manual selection of regions of interest (ROIs) may introduce bias. It is possible to stitch and tile many small ROIs; however, this can result in artifacts across an image.Aim
The aim is to achieve accurate super-resolved images across a large FOV ( 4.4×3.0 mm ).Approach
We have applied super-resolution radial fluctuations processing in conjunction with the Mesolens, which has the unusual combination of a low-magnification and high numerical aperture, to obtain super-resolved
SUBMITTER: Brown M
PROVIDER: S-EPMC11667203 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature