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Proceedings Paper

Hyperspectral fluorescence microscopy based on compressed sensing
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Paper Abstract

In fluorescence microscopy, one can distinguish two kinds of imaging approaches, wide field and raster scan microscopy, differing by their excitation and detection scheme. In both imaging modalities the acquisition is independent of the information content of the image. Rather, the number of acquisitions N, is imposed by the Nyquist-Shannon theorem. However, in practice, many biological images are compressible (or, equivalently here, sparse), meaning that they depend on a number of degrees of freedom K that is smaller that their size N. Recently, the mathematical theory of compressed sensing (CS) has shown how the sensing modality could take advantage of the image sparsity to reconstruct images with no loss of information while largely reducing the number M of acquisition. Here we present a novel fluorescence microscope designed along the principles of CS. It uses a spatial light modulator (DMD) to create structured wide field excitation patterns and a sensitive point detector to measure the emitted fluorescence. On sparse fluorescent samples, we could achieve compression ratio N/M of up to 64, meaning that an image can be reconstructed with a number of measurements of only 1.5 % of its pixel number. Furthemore, we extend our CS acquisition scheme to an hyperspectral imaging system.

Paper Details

Date Published: 2 February 2012
PDF: 8 pages
Proc. SPIE 8227, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIX, 82270D (2 February 2012); doi: 10.1117/12.908532
Show Author Affiliations
Vincent Studer, Univ. Bordeaux (France)
CNRS, Interdisciplinary Institute for Neuroscience (France)
Jérome Bobin, Commissariat à l'Énergie Atomique (France)
Makhlad Chahid, Univ. Bordeaux (France)
CNRS, Interdisciplinary Institute for Neuroscience (France)
Hamed Mousavi, Univ. Bordeaux (France)
CNRS, Interdisciplinary Institute for Neuroscience (France)
Emmanuel Candes, Stanford Univ. (United States)
Maxime Dahan, Lab. Kastler Brossel, CNRS, École Normale Supérieure, Univ. Pierre et Marie Curie-Paris 6 (France)


Published in SPIE Proceedings Vol. 8227:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIX
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson; Thomas G. Brown, Editor(s)

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