title: Cytology by Infrared Micro-Spectroscopy: Automatic Distinction of Cell Types in Urinary Cytology.
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.
authors.affiliation: Department of Chemistry and Chemical Biology, Northeastern University, Hurtig Hall, Boston, MA 02115.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Bird
authors.forename: Melissa J
authors.initials: MJ
authors.lastname: Romeo
authors.forename: Max
authors.initials: M
authors.lastname: Diem
authors.forename: Kristi
authors.initials: K
authors.lastname: Bedrossian
authors.forename: Nora
authors.initials: N
authors.lastname: Laver
authors.forename: Stephen
authors.initials: S
authors.lastname: Naber