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Proceedings Paper

Hyperspectral fluorescence tomography of quantum dots
Author(s): Alexander D. Klose
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Paper Abstract

Hyperspectral excitation-resolved fluorescence tomography (HEFT) exploits the spectrally-dependent absorption properties of biological tissue for recovering the unknown three-dimensional (3D) fluorescent reporter distribution inside tissue. Only a single light source with macro-illumination and wavelength-discrimination is required for the purpose of light emission stimulation and 3D image reconstruction. HEFT is built on fluorescent sources with a relatively broad spectral absorption profile (quantum dots) and a light propagation model for strongly absorbing tissue between wavelengths 560 nm and 660 nm (simplified spherical harmonics - SPN, - equations). The measured partial current of fluorescence light is cast into an algebraic system of equations, which is solved for the unknown quantum dot distribution with an expectation-maximization (EM) method. HEFT requires no source-detector multiplexing for 3D image reconstruction and, hence, offers a technologically simple design.

Paper Details

Date Published: 17 February 2011
PDF: 6 pages
Proc. SPIE 7896, Optical Tomography and Spectroscopy of Tissue IX, 78962P (17 February 2011); doi: 10.1117/12.875021
Show Author Affiliations
Alexander D. Klose, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 7896:
Optical Tomography and Spectroscopy of Tissue IX
Bruce Jason Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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