Label-free high-resolution imaging of prostate glands and cavernous nerves using coherent anti-Stokes Raman scattering microscopy

Liang Gao, Haijun Zhou, Michael J. Thrall, Fuhai Li, Yaliang Yang, Zhiyong Wang, Pengfei Luo, Kelvin K. Wong, Ganesh S. Palapattu, Stephen T C Wong

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

A custom built coherent anti-Stokes Raman scattering (CARS) microscope was used to image prostatic glands and nerve structures from 17 patients undergoing radical prostatectomy. Imaging of glandular and nerve structures showed distinctive cellular features that correlated to histological stains. Segmentation of cell nucleus was performed to establish a cell feature-based model to separate normal glands from cancer glands. In this study, we use a single parameter, average cell neighbor distance based on CARS imaging, to characterize normal and cancerous glandular structures. By combining CARS with our novel classification model, we are able to characterize prostate glandular and nerve structures in a manner that potentially enables real-time, intra-operative assessment of surgical margins and neurovascular bundles. As such, this method could potentially improve outcomes following radical prostatectomy.

Original languageEnglish (US)
Pages (from-to)915-926
Number of pages12
JournalBiomedical Optics Express
Volume2
Issue number4
DOIs
StatePublished - Apr 1 2011

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Fingerprint Dive into the research topics of 'Label-free high-resolution imaging of prostate glands and cavernous nerves using coherent anti-Stokes Raman scattering microscopy'. Together they form a unique fingerprint.

Cite this