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© Research
Publication : IEEE 14th International Symposium on Biomedical Imaging, ISBI

Reducing data acquisition for fast structured illumination microscopy using compressed sensing

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in IEEE 14th International Symposium on Biomedical Imaging, ISBI - 19 Apr 2017

William Meiniel, Piernicola Spinicelli, Elsa D. Angelini, Alexandra Fragola, Vincent Loriette, François Orieux, Eduardo Sepulveda, Jean-Christophe Olivo Marin

10.1109/ISBI.2017.7950461

In this work, we introduce an original strategy to apply the Compressed Sensing (CS) framework to a super-resolution Structured Illumination Microscopy (SIM) technique. We first define a framework for direct domain CS, that exploits the sparsity of fluorescence microscopy images in the Fourier domain. We then propose an application of this method to a fast 4-images SIM technique, which allows to reconstruct super-resolved fluorescence microscopy images using only 25% of the camera pixels for each acquisition.

http://ieeexplore.ieee.org/abstract/document/7950461/