Richardson–Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution

By Nicolas Dey, Laure Blanc-Féraud, Christophe Zimmer, P. Roux, Zvi Kam, Jean-Christophe Olivo-Marin, Josiane Zerubia. Microscopy research and technique (Print), 2006

498 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/2ad15eb0615874f6b3a6e132dab41e7882158ba4

How researchers see this paper

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In Biomedical Engineering

1. Gabriele Steidl
2. Simon Setzer
3. Tanja Teuber
4. Kevin W. Eliceiri
5. Denis Fortun
6. Michael A. Unser

In Biophysics

1. Curtis T. Rueden
2. Kevin W. Eliceiri
3. Johannes E. Schindelin
4. Mark C. Hiner
5. Alison E. Walter
6. Barry E. DeZonia
7. Ellen T. Arena
8. Michael A. Unser

Citations in the corpus

• ImageJ2: ImageJ for the next generation of scientific image data (2017, methodology): “Richardson-Lucy Total Variation deconvolution [97] of the Stellaris FISH dataset #1 [98], computed by the deconvolve.”
• Deblurring Poissonian images by split Bregman techniques (2010, background): “Blurred images corrupted by Poisson noise appear in various applications such as astronomical imaging [1], electronic microscopy [2, 3, 4], SPECT [5] and PET [6].”
• DeconvolutionLab2: An open-source software for deconvolution microscopy. (2017, methodology): “To counterbalance the noise amplification effect of RL, a regularization term can be added to (17) [12].”