Automated fluorescence-imaging cytometry for the detection of cervical cancer

Brian Herman, Stephen Lockett, Andrea Ayscue, Ammasi Periasamy, Pawel Wodnicki, Majid Siadat-Pajouh

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

Abstract

Accumulating evidence strongly associates human papillomavirus (HPV) infection with the development of cervical cancers. Recent epidemiological studies indicate that the amount of high risk HPV in cervicovaginal epithelial cells may be a risk factor for cervical cancer. A technique which could detect, genotype and quantitate HPV in smears of cervicovaginal epithelial cells would be of major import in assessment of patient clinical status as well as in epidemiological studies relating HPV infection to cervical cancer. The paper presents ongoing development of an Automated Clinical Image Cytometer (ACIC), which can genotype and quantitate the amount of HPV present at a single cell level in cervical PAP smears.

Original languageEnglish (US)
Title of host publicationProceedings - Annual Meeting, Microscopy Society of America
EditorsG.W. Bailey, A.J. Garratt-Reed
Pages76-77
Number of pages2
StatePublished - Dec 1 1994
EventProceedings of the 52nd Annual Meeting of the Microscopy Society of America - New Orleans, LA, USA
Duration: Jul 31 1994Aug 5 1994

Other

OtherProceedings of the 52nd Annual Meeting of the Microscopy Society of America
CityNew Orleans, LA, USA
Period7/31/948/5/94

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