Raman Microscopy: Progress in Research on Cancer Cell Sensing

In the last decade, Raman Spectroscopy (RS) was demonstrated to be a label-free, non-invasive and non-destructive optical spectroscopy allowing the improvement in diagnostic accuracy in cancer and analytical assessment for cell sensing. This review discusses how Raman spectra can lead to a deeper mo...

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Main Authors: Satheeshkumar Elumalai, Stefano Managó, Anna Chiara De Luca
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/19/5525
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spelling doaj-1c2203f5bff24acc8abbcc2dd9313fff2020-11-25T03:52:14ZengMDPI AGSensors1424-82202020-09-01205525552510.3390/s20195525Raman Microscopy: Progress in Research on Cancer Cell SensingSatheeshkumar Elumalai0Stefano Managó1Anna Chiara De Luca2Institute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, ItalyInstitute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, ItalyInstitute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, ItalyIn the last decade, Raman Spectroscopy (RS) was demonstrated to be a label-free, non-invasive and non-destructive optical spectroscopy allowing the improvement in diagnostic accuracy in cancer and analytical assessment for cell sensing. This review discusses how Raman spectra can lead to a deeper molecular understanding of the biochemical changes in cancer cells in comparison to non-cancer cells, analyzing two key examples, leukemia and breast cancer. The reported Raman results provide information on cancer progression and allow the identification, classification, and follow-up after chemotherapy treatments of the cancer cells from the liquid biopsy. The key obstacles for RS applications in cancer cell diagnosis, including quality, objectivity, number of cells and velocity of the analysis, are considered. The use of multivariant analysis, such as principal component analysis (PCA) and linear discriminate analysis (LDA), for an automatic and objective assessment without any specialized knowledge of spectroscopy is presented. Raman imaging for cancer cell mapping is shown and its advantages for routine clinical pathology practice and live cell imaging, compared to single-point spectral analysis, are debated. Additionally, the combination of RS with microfluidic devices and high-throughput screening for improving the velocity and the number of cells analyzed are also discussed. Finally, the combination of the Raman microscopy (RM) with other imaging modalities, for complete visualization and characterization of the cells, is described.https://www.mdpi.com/1424-8220/20/19/5525Raman spectroscopycell sensingleukemiabreast cancer cellRaman imagingcorrelative imaging
collection DOAJ
language English
format Article
sources DOAJ
author Satheeshkumar Elumalai
Stefano Managó
Anna Chiara De Luca
spellingShingle Satheeshkumar Elumalai
Stefano Managó
Anna Chiara De Luca
Raman Microscopy: Progress in Research on Cancer Cell Sensing
Sensors
Raman spectroscopy
cell sensing
leukemia
breast cancer cell
Raman imaging
correlative imaging
author_facet Satheeshkumar Elumalai
Stefano Managó
Anna Chiara De Luca
author_sort Satheeshkumar Elumalai
title Raman Microscopy: Progress in Research on Cancer Cell Sensing
title_short Raman Microscopy: Progress in Research on Cancer Cell Sensing
title_full Raman Microscopy: Progress in Research on Cancer Cell Sensing
title_fullStr Raman Microscopy: Progress in Research on Cancer Cell Sensing
title_full_unstemmed Raman Microscopy: Progress in Research on Cancer Cell Sensing
title_sort raman microscopy: progress in research on cancer cell sensing
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-09-01
description In the last decade, Raman Spectroscopy (RS) was demonstrated to be a label-free, non-invasive and non-destructive optical spectroscopy allowing the improvement in diagnostic accuracy in cancer and analytical assessment for cell sensing. This review discusses how Raman spectra can lead to a deeper molecular understanding of the biochemical changes in cancer cells in comparison to non-cancer cells, analyzing two key examples, leukemia and breast cancer. The reported Raman results provide information on cancer progression and allow the identification, classification, and follow-up after chemotherapy treatments of the cancer cells from the liquid biopsy. The key obstacles for RS applications in cancer cell diagnosis, including quality, objectivity, number of cells and velocity of the analysis, are considered. The use of multivariant analysis, such as principal component analysis (PCA) and linear discriminate analysis (LDA), for an automatic and objective assessment without any specialized knowledge of spectroscopy is presented. Raman imaging for cancer cell mapping is shown and its advantages for routine clinical pathology practice and live cell imaging, compared to single-point spectral analysis, are debated. Additionally, the combination of RS with microfluidic devices and high-throughput screening for improving the velocity and the number of cells analyzed are also discussed. Finally, the combination of the Raman microscopy (RM) with other imaging modalities, for complete visualization and characterization of the cells, is described.
topic Raman spectroscopy
cell sensing
leukemia
breast cancer cell
Raman imaging
correlative imaging
url https://www.mdpi.com/1424-8220/20/19/5525
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