Spectral discrimination of live prostate and bladder cancer cell lines using Raman optical tweezers

Tim J. Harvey, Elsa Correia Faria, Alex Henderson, Noel W. Clarke, Michael D. Brown, Richard Snook, Peter Gardner, Ehsan Gazi, Andrew D. Ward, Elsa Correia Faria - bill

Research output: Contribution to journalArticlepeer-review

173 Downloads (Pure)


An investigation into the use of Raman optical tweezers to study urological cell lines is reported, with the ultimate aim of determining the presence of malignant CaP cells in urine and peripheral fluids. To this end, we trapped and analyzed live CaP cells (PC-3) and bladder cells (MGH-U1), because both prostate and bladder cells are likely to be present in urine. The laser excitation wavelength of 514.5 nm was used, with Raman light collected both in back- and forward-scattering geometric configurations. For the backscattering configuration the same laser was used for trapping and excitation, while for forward scattering a 1064 nm laser provided the trapping beam. Analysis of cell-diameter distributions for cells analyzed suggested normal distribution of cell sizes, indicating an unbiased cellselection criterion. Principal components analysis afforded discrimination of MGH-U1 and PC-3 spectra collected in either configuration, demonstrating that it is possible to trap, analyze, and differentiate PC-3 from MGH-U1 cells using a 514.5 nm laser. By loading plot analysis, possible biomolecules responsible for discrimination in both configurations were determined. Finally, the effect of cell size on discrimination was investigated, with results indicating that separation is based predominantly on cell type rather than cell size. © 2008 Society of Photo-Optical Instrumentation Engineers.
Original languageEnglish
Article number064004
JournalJournal of Biomedical Optics
Issue number6
Publication statusPublished - Nov 2008


  • Celllines
  • Chemometrics
  • Principal component analysis
  • Prostate cancer
  • Raman optical tweezers
  • Vibrational spectroscopy

Research Beacons, Institutes and Platforms

  • Manchester Institute of Biotechnology


Dive into the research topics of 'Spectral discrimination of live prostate and bladder cancer cell lines using Raman optical tweezers'. Together they form a unique fingerprint.

Cite this