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Transillumination imaging through biological tissue by single-pixel detection

Durán Bosch, Vicente Andrés, 1977 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Soldevila, F. (author)
Universidad Jaume I
Irles, E. (author)
Universidad Jaume I
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Clemente, P. (author)
Universidad Jaume I
Tajahuerce, E. (author)
Universidad Jaume I
Andres, P. (author)
Universitat de Valencia
Lancis, J. (author)
Universidad Jaume I
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 (creator_code:org_t)
ISBN 9781628417067
SPIE, 2015
2015
English.
In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. - : SPIE. - 1605-7422. - 9781628417067 ; 9541, s. Artno 95410B-
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • One challenge that has long held the attention of scientists is that of clearly seeing objects hidden by turbid media, as smoke, fog or biological tissue, which has major implications in fields such as remote sensing or early diagnosis of diseases. Here, we combine structured incoherent illumination and bucket detection for imaging an absorbing object completely embedded in a scattering medium. A sequence of low-intensity microstructured light patterns is launched onto the object, whose image is accurately reconstructed through the light fluctuations measured by a single-pixel detector. Our technique is noninvasive, does not require coherent sources, raster scanning nor time-gated detection and benefits from the compressive sensing strategy. As a proof of concept, we experimentally retrieve the image of a transilluminated target both sandwiched between two holographic diffusers and embedded in a 6mm-thick sample of chicken breast.

Subject headings

NATURVETENSKAP  -- Fysik -- Atom- och molekylfysik och optik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Atom and Molecular Physics and Optics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

Scattering Media
Compresssive Sensing
Computational Imaging

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