A novel fluorescence microscopy image deconvolution approach

Jing Qin, Xiyu Yi, Shimon Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


Superresolution optical fluctuation imaging (SOFI) is an attractive and affordable alternative to more established superresolution imaging methods. It provides moderate resolution enhancement and an efficient estimation of the optical point spread function (PSF). Moreover, further resolution enhancement could be achieved by deconvolution of the SOFI image. In this paper, we propose a novel image deconvolution approach based on the shearlet transform and the fractional-order total variation (FOTV) to further improve SOFI images. Since SOFI PSF estimation is imperfect in practice, we also propose a prior-guided semi-blind deconvolution method. Numerical experiments on simulated images with microtubule-like structures have shown that our proposed algorithms can recover filamentous features with high accuracy and outperforms other state-of-the-art deconvolution methods.

Original languageEnglish
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Number of pages4
ISBN (Electronic)9781538636367
StatePublished - May 23 2018
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


Conference15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Country/TerritoryUnited States

Bibliographical note

Funding Information:
The work from S. Weiss and X. Yi was supported by Dean Willard Chair fund and STROBE: A National Science Foundation Science & Technology Center under Grant No. DMR 1548924.

Publisher Copyright:
© 2018 IEEE.


  • Alternating direction method of multipliers
  • Alternating minimization algorithm
  • Fractional-order total variation
  • Image deconvolution
  • SOFI
  • Shearlet transform

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'A novel fluorescence microscopy image deconvolution approach'. Together they form a unique fingerprint.

Cite this