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

Authors

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

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.

Publication Title

Applied Optics

Recommended Citation

Fox, D., Velde, H., Preza, C., O'Sullivan, J., Smith, W., & Woolsey, T. (2006). Computational hyperspectral interferometry for studies of brain function: Proof of concept. Applied Optics (13), 3009-3021. https://doi.org/10.1364/AO.45.003009