Automated, quantitative analysis of histopathological staining in nuclei.

Published online

Journal Article

Technological advances have allowed the generation of high-throughput imaging of tissue sections. However, the analysis of these samples is typically still performed manually by one or multiple pathologists. We present a novel statistical model for the automated, quantitative analysis of these images. Our approach requires minimal tuning and allows recapitulation of estimates of staining strength in the nuclei of tumor cells as estimated by the gold standard. Besides, it compares favorably to other quantitative approaches available in the public domain.

Full Text

Duke Authors

Cited Authors

  • Henao, R; Geradts, J; Kurokawa, M; Kornbluth, S; Lucas, JE

Published Date

  • 2014

Published In

Volume / Issue

  • 2014 /

Start / End Page

  • 54 - 59

PubMed ID

  • 25717401

Pubmed Central ID

  • 25717401

International Standard Serial Number (ISSN)

  • 2153-4063

Language

  • eng

Conference Location

  • United States