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Erschienen in: Lasers in Medical Science 1/2016

01.01.2016 | Original Article

A grid matrix-based Raman spectroscopic method to characterize different cell milieu in biopsied axillary sentinel lymph nodes of breast cancer patients

verfasst von: Dipasree Som, Megha Tak, Mohit Setia, Asawari Patil, Amit Sengupta, C. Murali Krishna Chilakapati, Anurag Srivastava, Vani Parmar, Nita Nair, Rajiv Sarin, R. Badwe

Erschienen in: Lasers in Medical Science | Ausgabe 1/2016

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Abstract

Raman spectroscopy which is based upon inelastic scattering of photons has a potential to emerge as a noninvasive bedside in vivo or ex vivo molecular diagnostic tool. There is a need to improve the sensitivity and predictability of Raman spectroscopy. We developed a grid matrix-based tissue mapping protocol to acquire cellular-specific spectra that also involved digital microscopy for localizing malignant and lymphocytic cells in sentinel lymph node biopsy sample. Biosignals acquired from specific cellular milieu were subjected to an advanced supervised analytical method, i.e., cross-correlation and peak-to-peak ratio in addition to PCA and PC-LDA. We observed decreased spectral intensity as well as shift in the spectral peaks of amides and lipid bands in the completely metastatic (cancer cells) lymph nodes with high cellular density. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to create an automated smart diagnostic tool for bench side screening of sampled lymph nodes. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to develop an automated smart diagnostic tool for bench side screening of sampled lymph nodes supported by ongoing global research in developing better technology and signal and big data processing algorithms.
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Metadaten
Titel
A grid matrix-based Raman spectroscopic method to characterize different cell milieu in biopsied axillary sentinel lymph nodes of breast cancer patients
verfasst von
Dipasree Som
Megha Tak
Mohit Setia
Asawari Patil
Amit Sengupta
C. Murali Krishna Chilakapati
Anurag Srivastava
Vani Parmar
Nita Nair
Rajiv Sarin
R. Badwe
Publikationsdatum
01.01.2016
Verlag
Springer London
Erschienen in
Lasers in Medical Science / Ausgabe 1/2016
Print ISSN: 0268-8921
Elektronische ISSN: 1435-604X
DOI
https://doi.org/10.1007/s10103-015-1830-6

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