Computational hyperspectral interferometry for studies of brain function: proof of concept
Applied Optics, Vol. 45, Issue 13, pp. 3009-3021 (2006)
http://dx.doi.org/10.1364/AO.45.003009
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Abstract
Hyperspectral interferometric microscopy uses a unique combination of optics and algorithm design to extract information. Local brain activity rapidly changes local blood flow and red blood cell concentration (absorption) and oxygenation (color). We demonstrate that brain activity evoked during whisker stimulation can be detected with hyperspectral interferometric microscopy to identify the active whisker–barrel cortex in the rat brain. Information about constituent components is extracted across the entire spectral band. Algorithms can be flexibly optimized to discover, detect, quantify, and visualize a wide range of significant biological events, including changes relevant to the diagnosis and treatment of disease.
© 2006 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
ToC Category:
Application
History
Original Manuscript: September 6, 2005
Revised Manuscript: January 4, 2006
Manuscript Accepted: January 13, 2006
Virtual Issues
Vol. 1, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Douglas J. Fox, Jr., Hana Tysver Velde, Chrysanthe Preza, Joseph A. O'Sullivan, William H. Smith, and Thomas A. Woolsey, "Computational hyperspectral interferometry for studies of brain function: proof of concept," Appl. Opt. 45, 3009-3021 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-13-3009
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