Imaging at depth in tissue with a single-pixel camera

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...

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Bibliographic Details
Published in:arXiv.org 2014-11
Main Authors: Durán, V, Soldevila, F, Irles, E, Clemente, P, Tajahuerce, E, Andrés, P, Lancis, J
Format: Article
Language:English
Subjects:
Image reconstruction
Light
Luminous intensity
Medical imaging
Pixels
Raster scanning
Remote sensing
Smoke
Tissues
Variations
Online Access:Get full text
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Summary: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 object completely embedded in a turbid 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. We experimentally retrieve the image at visible wavelengths of a transilluminated target embedded in a 6mm-thick sample of chicken breast.
ISSN:2331-8422