Literature DB >> 33014605

Unified joint reconstruction approach for random illumination microscopy.

Penghuan Liu1,2.   

Abstract

Random illumination microscopy (RIM) using uncontrolled speckle patterns has shown the capacity to surpass the Abbe's diffraction barrier, providing the possibility to design inexpensive and versatile structured illumination microscopy (SIM) devices. In this paper, I first present a review of the state-of-the-art joint reconstruction methods in RIM, and then propose a unified joint reconstruction approach in which the performance of various regularization terms can be evaluated under the same model. The model hyperparameter is easily tuned and robust in comparison to the previous methods and ℓ2,1 regularizer is proven to be a reasonable prior in most practical situations. Moreover, the degradation entailed by out-of-focus light in conventional SIM can be easily solved in RIM setup.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Year:  2020        PMID: 33014605      PMCID: PMC7510865          DOI: 10.1364/BOE.399547

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  15 in total

1.  Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy.

Authors:  M G Gustafsson
Journal:  J Microsc       Date:  2000-05       Impact factor: 1.758

2.  An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems.

Authors:  Manya V Afonso; José M Bioucas-Dias; Mário A T Figueiredo
Journal:  IEEE Trans Image Process       Date:  2010-09-13       Impact factor: 10.856

3.  A new twIst: two-step iterative shrinkage/thresholding algorithms for image restoration.

Authors:  José M Bioucas-Dias; Mario A T Figueiredo
Journal:  IEEE Trans Image Process       Date:  2007-12       Impact factor: 10.856

4.  Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy.

Authors:  S W Hell; J Wichmann
Journal:  Opt Lett       Date:  1994-06-01       Impact factor: 3.776

5.  Bayesian estimation for optimized structured illumination microscopy.

Authors:  François Orieux; Eduardo Sepulveda; Vincent Loriette; Benoit Dubertret; Jean-Christophe Olivo-Marin
Journal:  IEEE Trans Image Process       Date:  2011-07-22       Impact factor: 10.856

Review 6.  Strategic and practical guidelines for successful structured illumination microscopy.

Authors:  Justin Demmerle; Cassandravictoria Innocent; Alison J North; Graeme Ball; Marcel Müller; Ezequiel Miron; Atsushi Matsuda; Ian M Dobbie; Yolanda Markaki; Lothar Schermelleh
Journal:  Nat Protoc       Date:  2017-04-13       Impact factor: 13.491

7.  Joint Reconstruction Strategy for Structured Illumination Microscopy With Unknown Illuminations.

Authors:  Simon Labouesse; Awoke Negash; Jerome Idier; Sebastien Bourguignon; Thomas Mangeat; Penghuan Liu; Anne Sentenac; Marc Allain
Journal:  IEEE Trans Image Process       Date:  2017-02-24       Impact factor: 10.856

8.  Structured illumination microscopy with unknown patterns and a statistical prior.

Authors:  Li-Hao Yeh; Lei Tian; Laura Waller
Journal:  Biomed Opt Express       Date:  2017-01-09       Impact factor: 3.732

9.  Optical Sectioning and High Resolution in Single-Slice Structured Illumination Microscopy by Thick Slice Blind-SIM Reconstruction.

Authors:  Aurélie Jost; Elen Tolstik; Polina Feldmann; Kai Wicker; Anne Sentenac; Rainer Heintzmann
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

10.  Super-resolution video microscopy of live cells by structured illumination.

Authors:  Peter Kner; Bryant B Chhun; Eric R Griffis; Lukman Winoto; Mats G L Gustafsson
Journal:  Nat Methods       Date:  2009-04-26       Impact factor: 28.547

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