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.
| Original language | English |
|---|---|
| Title of host publication | Optical Sensors 2015 |
| Publisher | SPIE |
| Volume | 9506 |
| ISBN (Print) | 9781628416275 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | Optical Sensors 2015 - Prague, Czech Republic Duration: Apr 13 2015 → Apr 16 2015 |
Other
| Other | Optical Sensors 2015 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 4/13/15 → 4/16/15 |
Fingerprint
Keywords
- 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
Cite this
Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy. / Managò, Stefano; Valente, Carmen; Mirabelli, Peppino; De Luca, Anna Chiara.
Optical Sensors 2015. Vol. 9506 SPIE, 2015. 95060Z.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Discrimination and classification of acute lymphoblastic leukemia cells by Raman spectroscopy
AU - Managò, Stefano
AU - Valente, Carmen
AU - Mirabelli, Peppino
AU - De Luca, Anna Chiara
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - diagnosis
KW - leukemia
KW - Raman spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=84943550546&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84943550546&partnerID=8YFLogxK
U2 - 10.1117/12.2179486
DO - 10.1117/12.2179486
M3 - Conference contribution
SN - 9781628416275
VL - 9506
BT - Optical Sensors 2015
PB - SPIE
ER -