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Real-time Raman system for in vivo disease diagnosis

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Author(s)
Motz, Jason T.
•
Gandhi, Saumil J.
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Scepanovic, Obrad R.
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Haka, Abigail S.
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Kramer, John R.
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Feld, Michael S.
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Dasari, Ramachandra Rao
Date Issued
May 2005
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Motz, Jason T., Saumil J. Gandhi, Obrad R. Scepanovic, Abigail S. Haka, John R. Kramer, Ramachandra R. Dasari, and Michael S. Feld. “Real-Time Raman System for in Vivo Disease Diagnosis.” Journal of Biomedical Optics 10, no. 3 (2005): 031113. © 2005 Society of Photo-Optical Instrumentation Engineers
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Final published version
Abstract
Raman spectroscopy has been well established as a powerful in vitro method for studying biological tissue and diagnosing disease. The recent development of efficient, high-throughput, low-background optical fiber Raman probes provides, for the first time, the opportunity to obtain real-time performance in the clinic. We present an instrument for in vivo tissue analysis which is capable of collecting and processing Raman spectra in less than 2 s. This is the first demonstration that data acquisition, analysis, and diagnostics can be performed in clinically relevant times. The instrument is designed to work with the new Raman probes and includes custom written LabVIEW and Matlab programs to provide accurate spectral calibration, analysis, and diagnosis along with important safety features related to laser exposure. The real-time capabilities of the system were demonstrated in vivo during femoral bypass and breast lumpectomy surgeries. Such a system will greatly facilitate the adoption of Raman spectroscopy into clinical research and practice.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Spectroscopy Laboratory
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/87645
DOI of Published Version
https://doi.org/10.1117/1.1920247
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