Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy

Stefano Managò; Carmen Valente; Peppino Mirabelli; Anna Chiara De Luca

doi:10.1117/12.2179486

5 May 2015 Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy

Stefano Managò, Carmen Valente, Peppino Mirabelli, Anna Chiara De Luca

Proceedings Volume 9506, Optical Sensors 2015; 95060Z (2015) https://doi.org/10.1117/12.2179486
Event: SPIE Optics + Optoelectronics, 2015, Prague, Czech Republic

Abstract

Currently, a combination of technologies is typically required to identify and classify leukemia cells. These methods often lack the specificity and sensitivity necessary for early and accurate diagnosis. Here, we demonstrate the use of Raman spectroscopy to identify normal B cells, collected from healthy patients, and three ALL cell lines (RS4;11, REH and MN60 at different differentiation level, respectively). Raman markers associated with DNA and protein vibrational modes have been identified that exhibit excellent discriminating power for leukemia cell identification. Principal Component Analysis was finally used to confirm the significance of these markers for identify leukemia cells and classifying the data. The obtained results indicate a sorting accuracy of 96% between the three leukemia cell lines.

Citation Download Citation

Stefano Managò, Carmen Valente, Peppino Mirabelli, and Anna Chiara De Luca "Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy", Proc. SPIE 9506, Optical Sensors 2015, 95060Z (5 May 2015); https://doi.org/10.1117/12.2179486

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available