| Literature DB >> 19768107 |
Benjamin Bird1, Melissa J Romeo, Max Diem, Kristi Bedrossian, Nora Laver, Stephen Naber.
Abstract
We report microscopically collected infrared spectra of cells found in human urine in an effort to develop automatic methods for bladder cancer screening. Unsupervised multivariate analysis of the observed spectral patterns reveals distinct spectral classes, which correlated very well with visual cytology. Therefore, we believe that spectral analysis of individual cells can aid cytology in rendering reliable diagnoses based on objective measurements and discriminant algorithms.Entities:
Year: 2008 PMID: 19768107 PMCID: PMC2598423 DOI: 10.1016/j.vibspec.2008.03.006
Source DB: PubMed Journal: Vib Spectrosc ISSN: 0924-2031 Impact factor: 2.507