ArticlePhysical review letters2012
Unified resolution bounds for conventional and stochastic localization fluorescence microscopy.
Article in Physical review letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- Quenched Stochastic Optical Reconstruction Microscopy (qSTORM) with Graphene Oxide.Scientific reports · 2018Article
- A Theoretical High-Density Nanoscopy Study Leads to the Design of UNLOC, a Parameter-free Algorithm.Biophysical journal · 2018Article
- Interference based localization of single emitters.Optics express · 2017Article
- Local dimensionality determines imaging speed in localization microscopy.Nature communications · 2017Article
- Single particle maximum likelihood reconstruction from superresolution microscopy images.PloS one · 2017Article
- Fast super-resolution imaging with ultra-high labeling density achieved by joint tagging super-resolution optical fluctuation imaging.Scientific reports · 2015Article
- A simple method to estimate the average localization precision of a single-molecule localization microscopy experiment.Histochemistry and cell biology · 2014Article
- Precisely and accurately localizing single emitters in fluorescence microscopy.Nature methods · 2014Review
- TestSTORM: Simulator for optimizing sample labeling and image acquisition in localization based super-resolution microscopy.Biomedical optics express · 2014Article
- Fluorophore localization algorithms for super-resolution microscopy.Nature methods · 2014Review
- Spatial information in large-scale neural recordings.Frontiers in computational neuroscience · 2014Article
- Fluorescence nanoscopy. Methods and applications.Journal of chemical biology · 2013Review
- Measuring image resolution in optical nanoscopy.Nature methods · 2013Article
- Article
- Estimation theoretic measure of resolution for stochastic localization microscopy.Physical review letters · 2012Article
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2 authors.
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Abstract
Superresolution microscopy enables imaging in the optical far field with ~20 nm-scale resolution. However, classical concepts of resolution using point-spread and modulation-transfer functions fail to describe the physical limits of superresolution techniques based on stochastic localization of single emitters. Prior treatments of stochastic localization microscopy have defined how accurately a single emitter's position can be determined, but these bounds are restricted to sparse emitters, do not describe conventional microscopy, and fail to provide unified concepts of resolution for all optical methods. Here we introduce a measure of resolution, the information transfer function (ITF), that gives physical limits for conventional and stochastic localization techniques. The ITF bounds the accuracy of image determination as a function of spatial frequency and for conventional microscopy is proportional to the square of the modulation-transfer function. We use the ITF to describe how emitter density and photon counts affect imaging performance across the continuum from conventional to superresolution microscopy, without assuming emitters are sparse. This unified physical description of resolution facilitates experimental choices and designs of image reconstruction algorithms.
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