Image Resolution in Optical Nanoscopy
By R. Nieuwenhuizen, K. Lidke, M. Bates, D. L. Puig, D. Grünwald, S. Stallinga, B. Rieger. Nature Methods, 2013
712 citations recorded by the source corpus.
Resolution in optical nanoscopy (or super-resolution microscopy) depends on the localization uncertainty and density of single fluorescent labels and on the sample's spatial structure. Currently there is no integral, practical resolution measure that accounts for all factors. We introduce a measure based on Fourier ring correlation (FRC) that can be computed directly from an image. We demonstrate its validity and benefits on two-dimensional (2D) and 3D localization microscopy images of tubulin and actin filaments. Our FRC resolution method makes it possible to compare achieved resolutions in images taken with different nanoscopy methods, to optimize and rank different emitter localization and labeling strategies, to define a stopping criterion for data acquisition, to describe image anisotropy and heterogeneity, and even to estimate the average number of localizations per emitter. Our findings challenge the current focus on obtaining the best localization precision, showing instead how the best image resolution can be achieved as fast as possible.
Subfields: Biomedical Engineering, Biophysics, Structural Biology
View Paper: https://www.semanticscholar.org/paper/009c371b88a98888a981a24128058f910a55e133
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Citations in the corpus
- Fluorophore localization algorithms for super-resolution microscopy (2014, background): “…fluorophore positions; the resolution of the reconstruction, and its fidelity to the underlying specimen, depends on the density of the labels (the Nyquist criterion 11 ) and the process of reconstructing the final image 12 as well as the precision with which the fluorophores are localized 12–14 .”
- Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics (2015, neutral): “required to achieve such resolution (3).”