Design of a cylindrical fiber-optic lens focusing passive dual-color IR spectra and readout

Kenneth Byrd; Harold Szu

doi:10.1117/12.731175

9 April 2007 Design of a cylindrical fiber-optic lens focusing passive dual-color IR spectra and readout

Kenneth Byrd, Harold Szu

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 657607 (2007) https://doi.org/10.1117/12.731175
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Following our first design concept paper, we have further explored the potential of detection at both the Middle Infrared (Mid-IR) and Long Infrared (Long-IR) spectrum emitted through elevated growth stress of lower GI tract tumors by insertion of a cylindrical fiber-optic lens into the rectum and colon. Electrophysiology suggests that we study the electrical properties of both biological cells and tissues. One may do this by intracellular or extracellular recording. To effectively access the relationship of the sigmoid colon and rectum in humans, it is important to study the electrical and mechanical activation (pressure); we do this by close examination of pacesetter and action potentials, detection of various lower GI tract arrhythmias and studying early developmental symptoms of the "angiogenesis effect". Making use of non-sequential ray tracing software, we seek to design a plastic lens of appropriate index of refraction for the focusing of Long-IR (8-12&mgr;m) onto the axis and a Mid-IR (3-5&mgr;m) on one-half the radius of the cylindrical surface. Intensity (passive dual-color IR spectrograms) will be measured via our minimally invasive device, the so-called Rectumoscope^TM, and correlated with various transcutaneous and invasive electrophysiological measurements.

Citation Download Citation

Kenneth Byrd and Harold Szu "Design of a cylindrical fiber-optic lens focusing passive dual-color IR spectra and readout", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 657607 (9 April 2007); https://doi.org/10.1117/12.731175

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