Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationOptical Sensors 2015
ISBN (Print)9781628416275
Publication statusPublished - 2015
EventOptical Sensors 2015 - Prague, Czech Republic
Duration: Apr 13 2015Apr 16 2015


OtherOptical Sensors 2015
Country/TerritoryCzech Republic


  • diagnosis
  • leukemia
  • Raman spectroscopy

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics


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