4.7 Article

Towards real-time image deconvolution: application to confocal and STED microscopy

Journal

SCIENTIFIC REPORTS
Volume 3, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep02523

Keywords

-

Funding

  1. Italian Ministry of Education, University and Research (MIUR) [2008T5KA4L]
  2. University of Ferrara [MultiNOPaC-2010, NOCSiMA-2011]

Ask authors/readers for more resources

Although deconvolution can improve the quality of any type of microscope, the high computational time required has so far limited its massive spreading. Here we demonstrate the ability of the scaled-gradient-projection (SGP) method to provide accelerated versions of the most used algorithms in microscopy. To achieve further increases in efficiency, we also consider implementations on graphic processing units (GPUs). We test the proposed algorithms both on synthetic and real data of confocal and STED microscopy. Combining the SGP method with the GPU implementation we achieve a speed-up factor from about a factor 25 to 690 (with respect the conventional algorithm). The excellent results obtained on STED microscopy images demonstrate the synergy between super-resolution techniques and image-deconvolution. Further, the real-time processing allows conserving one of the most important property of STED microscopy, i.e the ability to provide fast sub-diffraction resolution recordings.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available