Obtaining super-resolved images at the mesoscale through super-resolution radial fluctuations
Year: 2024
Type: article
Abstract: SignificanceCurrent 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.AimThe aim is to achieve accurate super-resolved images across a large FOV (4.4×3.0 mm).ApproachWe 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 images.ResultsWe demonstrate it is possible to achieve images with a resolution of 446.3±10.9 nm, providing a ∼1.6-fold improvement in spatial resolution, over an FOV of 4.4×3.0 mm, with minimal error, and consistent structural agreement.ConclusionsWe provide a simple method for obtaining accurate super-resolution images over a large FOV, allowing for a simultaneous understanding of both subcellular structures and their large-scale interactions.
Source: Journal of Biomedical Optics
Institution: University of Strathclyde
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,675
Awards: G2082601977, FASPRI: a new method for increased spatial resolution in surface plasmon imaging of unlabelled living cells, G6977231230, Mesolab: A Centre for Optical Mesoscopy for Biomedical Research at the University of Strathclyde, How does EFR3 control insulin-stimulated plasma membrane dispersal of GLUT4?, G8567396198
OpenAlex ID: W4405729501