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Proceedings Paper

Differentiating cancer cells using Raman spectroscopy (Conference Presentation)

Paper Abstract

Cancer which has metastasized creates an issue in the medical field because the life expectancy of the patient doesn’t improve until the origin, type, and stage of metastatic cancer is determined. We present a system which uses Raman microspectroscopy to scan cancer cell cultures and determine the type of cancer present. A machine learning algorithm has been trained to distinguish between four cancer cell types. Known mixtures of cancer cells are mapped on a Raman hyperspectral image which displays where each cancer type is located.

Paper Details

Date Published: 9 March 2020
Proc. SPIE 11236, Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry, 112360G (9 March 2020); doi: 10.1117/12.2544326
Show Author Affiliations
Lance Buck, Utah Valley Univ. (United States)
Dustin W. Shipp, Utah Valley Univ. (United States)

Published in SPIE Proceedings Vol. 11236:
Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry
Wolfgang Petrich; Zhiwei Huang, Editor(s)

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