Computational hyperspectral interferometry for studies of brain function: Proof of concept

Douglas J. Fox, Hana Tysver Velde, Chrysanthe Preza, Joseph A. O'Sullivan, William H. Smith, Thomas A. Woolsey

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Pages (from-to)3009-3021
Number of pages13
JournalApplied Optics
Volume45
Issue number13
DOIs
StatePublished - May 1 2006

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