Literature DB >> 33210213

Recent advances in point spread function engineering and related computational microscopy approaches: from one viewpoint.

Yoav Shechtman1.   

Abstract

This personal hybrid review piece, written in light of my recipience of the UIPAB 2020 young investigator award, contains a mixture of my scientific biography and work so far. This paper is not intended to be a comprehensive review, but only to highlight my contributions to computation-related aspects of super-resolution microscopy, as well as their origins and future directions.

Keywords:  Deep learning; Point-spread function engineering; Single particle tracking; Super resolution microscopy

Year:  2020        PMID： 33210213      PMCID： PMC7755951          DOI： 10.1007/s12551-020-00773-7

Source DB:  PubMed          Journal:  Biophys Rev        ISSN： 1867-2450


  55 in total

1.  Ultra-high resolution imaging by fluorescence photoactivation localization microscopy.

Authors:  Samuel T Hess; Thanu P K Girirajan; Michael D Mason
Journal:  Biophys J       Date:  2006-09-15       Impact factor: 4.033

2.  Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy.

Authors:  Bo Huang; Wenqin Wang; Mark Bates; Xiaowei Zhuang
Journal:  Science       Date:  2008-01-03       Impact factor: 47.728

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

Authors:  Seamus J Holden; Stephan Uphoff; Achillefs N Kapanidis
Journal:  Nat Methods       Date:  2011-04       Impact factor: 28.547

4.  Content-aware image restoration: pushing the limits of fluorescence microscopy.

Authors:  Martin Weigert; Uwe Schmidt; Tobias Boothe; Andreas Müller; Alexandr Dibrov; Akanksha Jain; Benjamin Wilhelm; Deborah Schmidt; Coleman Broaddus; Siân Culley; Mauricio Rocha-Martins; Fabián Segovia-Miranda; Caren Norden; Ricardo Henriques; Marino Zerial; Michele Solimena; Jochen Rink; Pavel Tomancak; Loic Royer; Florian Jug; Eugene W Myers
Journal:  Nat Methods       Date:  2018-11-26       Impact factor: 28.547

5.  Single-molecule motions enable direct visualization of biomolecular interactions in solution.

Authors:  Quan Wang; W E Moerner
Journal:  Nat Methods       Date:  2014-03-09       Impact factor: 28.547

6.  Imaging in flow.

Authors:  D B Kay; J L Cambier; L L Wheeless
Journal:  J Histochem Cytochem       Date:  1979-01       Impact factor: 2.479

7.  VIPR: vectorial implementation of phase retrieval for fast and accurate microscopic pixel-wise pupil estimation.

Authors:  Boris Ferdman; Elias Nehme; Lucien E Weiss; Reut Orange; Onit Alalouf; Yoav Shechtman
Journal:  Opt Express       Date:  2020-03-30       Impact factor: 3.894

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

Authors:  Fang Huang; Samantha L Schwartz; Jason M Byars; Keith A Lidke
Journal:  Biomed Opt Express       Date:  2011-04-29       Impact factor: 3.732

9.  Automatic detection of diffusion modes within biological membranes using back-propagation neural network.

Authors:  Patrice Dosset; Patrice Rassam; Laurent Fernandez; Cedric Espenel; Eric Rubinstein; Emmanuel Margeat; Pierre-Emmanuel Milhiet
Journal:  BMC Bioinformatics       Date:  2016-05-04       Impact factor: 3.169

10.  Analyzing complex single-molecule emission patterns with deep learning.

Authors:  Peiyi Zhang; Sheng Liu; Abhishek Chaurasia; Donghan Ma; Michael J Mlodzianoski; Eugenio Culurciello; Fang Huang
Journal:  Nat Methods       Date:  2018-10-30       Impact factor: 28.547
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  1 in total

1.  Wavefront engineered light needle microscopy for axially resolved rapid volumetric imaging.

Authors:  Yuichi Kozawa; Tomoya Nakamura; Yuuki Uesugi; Shunichi Sato
Journal:  Biomed Opt Express       Date:  2022-02-24       Impact factor: 3.732
  1 in total

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