Literature DB >> 36032567

LuckyProfiler: an ImageJ plug-in capable of quantifying FWHM resolution easily and effectively for super-resolution images.

Mengting Li1, Qihang Song2, Yinghao Xiao2, Junnan Wu2, Weibing Kuang1, Yingjun Zhang2,3, Zhen-Li Huang2,4.   

Abstract

Quantifying the resolution of a super-resolution image is vital for biologists trying to apply super-resolution microscopy in various research fields. Among the reported image resolution estimation methods, the one that calculates the full width at half maximum (FWHM) of line profile, called FWHM resolution, continues the traditional resolution criteria and has been popularly used by many researchers. However, quantifying the FWHM resolution of a super-resolution image is a time-consuming, labor-intensive, and error-prone process because this method typically involves a manual and careful selection of one or several of the smallest structures. In this paper, we investigate the influencing factors in FWHM resolution quantification systematically and present an ImageJ plug-in called LuckyProfiler for biologists so that they can have an easy and effective way of quantifying the FWHM resolution of super-resolution images.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 36032567      PMCID: PMC9408243          DOI: 10.1364/BOE.462197

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  24 in total

1.  Beyond Rayleigh's criterion: a resolution measure with application to single-molecule microscopy.

Authors:  Sripad Ram; E Sally Ward; Raimund J Ober
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-01       Impact factor: 11.205

2.  Quantitative evaluation of software packages for single-molecule localization microscopy.

Authors:  Daniel Sage; Hagai Kirshner; Thomas Pengo; Nico Stuurman; Junhong Min; Suliana Manley; Michael Unser
Journal:  Nat Methods       Date:  2015-06-15       Impact factor: 28.547

Review 3.  Rethinking resolution estimation in fluorescence microscopy: from theoretical resolution criteria to super-resolution microscopy.

Authors:  Mengting Li; Zhen-Li Huang
Journal:  Sci China Life Sci       Date:  2020-12-01       Impact factor: 6.038

4.  SuReSim: simulating localization microscopy experiments from ground truth models.

Authors:  Varun Venkataramani; Frank Herrmannsdörfer; Mike Heilemann; Thomas Kuner
Journal:  Nat Methods       Date:  2016-02-29       Impact factor: 28.547

5.  Divide and conquer: real-time maximum likelihood fitting of multiple emitters for super-resolution localization microscopy.

Authors:  Luchang Li; Bo Xin; Weibing Kuang; Zhiwei Zhou; Zhen-Li Huang
Journal:  Opt Express       Date:  2019-07-22       Impact factor: 3.894

6.  Measuring image resolution in optical nanoscopy.

Authors:  Robert P J Nieuwenhuizen; Keith A Lidke; Mark Bates; Daniela Leyton Puig; David Grünwald; Sjoerd Stallinga; Bernd Rieger
Journal:  Nat Methods       Date:  2013-04-28       Impact factor: 28.547

Review 7.  Super-resolution microscopy demystified.

Authors:  Lothar Schermelleh; Alexia Ferrand; Thomas Huser; Christian Eggeling; Markus Sauer; Oliver Biehlmaier; Gregor P C Drummen
Journal:  Nat Cell Biol       Date:  2019-01-02       Impact factor: 28.824

8.  Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging.

Authors:  Graham T Dempsey; Joshua C Vaughan; Kok Hao Chen; Mark Bates; Xiaowei Zhuang
Journal:  Nat Methods       Date:  2011-11-06       Impact factor: 28.547

9.  Super-resolution imaging of multiple cells by optimised flat-field epi-illumination.

Authors:  Kyle M Douglass; Christian Sieben; Anna Archetti; Ambroise Lambert; Suliana Manley
Journal:  Nat Photonics       Date:  2016-10-17       Impact factor: 38.771

Review 10.  How good are my data? Reference standards in superresolution microscopy.

Authors:  Markus Mund; Jonas Ries
Journal:  Mol Biol Cell       Date:  2020-09-01       Impact factor: 4.138

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