Literature DB >> 23215134

Unified resolution bounds for conventional and stochastic localization fluorescence microscopy.

Eran A Mukamel1, Mark J Schnitzer.   

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.

Entities:  

Mesh:

Year:  2012        PMID: 23215134      PMCID: PMC3521605          DOI: 10.1103/PhysRevLett.109.168102

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  15 in total

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8.  DAOSTORM: an algorithm for high- density super-resolution microscopy.

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9.  Simultaneous multiple-emitter fitting for single molecule super-resolution imaging.

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  14 in total

1.  Interference based localization of single emitters.

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Journal:  Opt Express       Date:  2017-07-24       Impact factor: 3.894

2.  A Theoretical High-Density Nanoscopy Study Leads to the Design of UNLOC, a Parameter-free Algorithm.

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Review 3.  Precisely and accurately localizing single emitters in fluorescence microscopy.

Authors:  Hendrik Deschout; Francesca Cella Zanacchi; Michael Mlodzianoski; Alberto Diaspro; Joerg Bewersdorf; Samuel T Hess; Kevin Braeckmans
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Review 4.  Fluorophore localization algorithms for super-resolution microscopy.

Authors:  Alex Small; Shane Stahlheber
Journal:  Nat Methods       Date:  2014-03       Impact factor: 28.547

5.  A simple method to estimate the average localization precision of a single-molecule localization microscopy experiment.

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Review 6.  Fluorescence nanoscopy. Methods and applications.

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Journal:  J Chem Biol       Date:  2013-06-04

7.  TestSTORM: Simulator for optimizing sample labeling and image acquisition in localization based super-resolution microscopy.

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8.  Measuring image resolution in optical nanoscopy.

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9.  Fast super-resolution imaging with ultra-high labeling density achieved by joint tagging super-resolution optical fluctuation imaging.

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10.  Maximizing the biochemical resolving power of fluorescence microscopy.

Authors:  Alessandro Esposito; Marina Popleteeva; Ashok R Venkitaraman
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

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