2015/01/23 by Thomas Pengo, Nicolas Olivier, Pengo, Thomas +3
Biochemistry, Genetics and Molecular Biology · #Advanced Electron Microscopy Techniques and Applications #Advanced Fluorescence Microscopy Techniques #Biological Physics (physics.bio-ph) #Cell Image Analysis Techniques #FOS: Physical sciences
paper · pdf · doi:10.48550/arxiv.1501.05807
openalex publication_date 2015/01/23 · openalex created_date 2022/09/12 · openalex updated_date 2026/07/28
Super-resolution microscopy has revolutionized optical fluorescence imaging\nby improving 3D resolution by 1-2 orders of magnitude. While different methods\ncan successfully increase the resolution, all methods share significant\ndifferences with standard imaging methods, making the usual measures of\nresolution inapplicable. In particular image quality and information content\nare spatially heterogeneous with variabilities that can be comparable to their\nmean values, limiting the use of the average resolution as a predictor for\nlocal information. A common use of super-resolution data is to test or\nestablish structural models, and in these cases it would be valuable to assess\nthe capacity of the data to validate a model. We focus here on single-molecule\nlocalization methods and present a new way of assessing the quality and\nreliability of super-resolution data.\n