Compressive fluorescence microscopy for biological and hyperspectral imaging

V. Studer, J. Bobin, M. Chahid, H. S. Mousavi, E. Candes, M. Dahan
Proceedings of the National Academy of Sciences. 2012-06-11; 109(26): E1679-E1687
DOI: 10.1073/pnas.1119511109

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1. Proc Natl Acad Sci U S A. 2012 Jun 26;109(26):E1679-87. doi:
10.1073/pnas.1119511109. Epub 2012 Jun 11.

Compressive fluorescence microscopy for biological and hyperspectral imaging.

Studer V(1), Bobin J, Chahid M, Mousavi HS, Candes E, Dahan M.

Author information:
(1)Université Bordeaux 2, Interdisciplinary Institute for Neuroscience, Unité
Mixte de Recherche 5297, F-33000 Bordeaux, France.

The mathematical theory of compressed sensing (CS) asserts that one can acquire
signals from measurements whose rate is much lower than the total bandwidth.
Whereas the CS theory is now well developed, challenges concerning hardware
implementations of CS-based acquisition devices–especially in optics–have only
started being addressed. This paper presents an implementation of compressive
sensing in fluorescence microscopy and its applications to biomedical imaging.
Our CS microscope combines a dynamic structured wide-field illumination and a
fast and sensitive single-point fluorescence detection to enable reconstructions
of images of fluorescent beads, cells, and tissues with undersampling ratios
(between the number of pixels and number of measurements) up to 32. We further
demonstrate a hyperspectral mode and record images with 128 spectral channels and
undersampling ratios up to 64, illustrating the potential benefits of CS
acquisition for higher-dimensional signals, which typically exhibits extreme
redundancy. Altogether, our results emphasize the interest of CS schemes for
acquisition at a significantly reduced rate and point to some remaining
challenges for CS fluorescence microscopy.

DOI: 10.1073/pnas.1119511109
PMCID: PMC3387031
PMID: 22689950 [Indexed for MEDLINE]

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