Deep-Ultraviolet Raman Spectroscopy for Cancer Diagnostics: A Feasibility Study with Cell Lines and Tissues.
Cancer is known as one of the most dreaded diagnoses a doctor can make. The time, pain, effort, and oftentimes heartache associated with a cancer diagnosis will undoubtedly impact most people, either directly or indirectly, at least once in their lifetime. Current methods for diagnosing cancers generally include lab tests conducted on body fluids, imaging exams, and biopsies.
There remains a need for the development of a much more accurate and sensitive method which can universally diagnose cancer and could be used in cancer imaging systems during surgery. Raman Spectroscopy is a powerful analytical technique that allows detection and measurement of basic molecular classes in complex biological samples, such as body fluids, cells, and tissues. Therefore, the RS technique has a great potential for use as a diagnostic tool.
RS identifies chemical specificity of molecular species without staining or labeling. The RS spectral signature may be used to build multivariate calibration and classification models for practical clinical needs. Raman signals from tissues originate from laser light backscattered by molecules. It is able to complement other techniques and, in many cases, provide new information unattainable by other approaches.
Cancer Stud Mol Med Open J. 2019; 5(1): 1-10. doi: 10.17140/CSMMOJ-5-126