Quantitative assessment of pancreatic cancer precursor lesions in IHC-stained tissue with a tissue image analysis platform-Reference-Cited by-同舟云学术

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Quantitative assessment of pancreatic cancer precursor lesions in IHC-stained tissue with a tissue image analysis platform

Published:2016-10-24 Issue:12 Volume:96 Page:1327-1336
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Lab Invest

Author:

Aeffner Famke,Martin Nathan T,Peljto Mirza,Black Joshua C,Major Justin K,Jangani Maryam,Ports Michael O,Krueger Joseph S,Young G David

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Pathology and Forensic Medicine

Link

http://www.nature.com/articles/labinvest2016111.pdf

Reference35 articles.

1. Potts SJ, Johnson TD, Voelker FA et al, Multiplexed measurement of proteins in tissue in a clinical environment. Appl Immunohistochem Mol Morphol 2011; 19: 494–498.

2. Potts SJ, Krueger JS, Landis ND et al, Evaluating tumor heterogeneity in immunohistochemistry-stained breast cancer tissue. Lab Invest 2012; 92: 1342–1357.

3. Angell HK, Gray N, Womack C et al, Digital pattern recognition-based image analysis quantifies immune infiltrates in distinct tissue regions of colorectal cancer and identifies a metastatic phenotype. Br J Cancer 2013; 109: 1618–1624.

4. Mofidi R, Walsh R, Ridgway PF et al, Objective measurement of breast cancer oestrogen receptor status through digital image analysis. Eur J Surg Oncol 2003; 29: 20–24.

5. Aeffner F, Wilson K, Bolon B et al, Commentary: roles for pathologists in a high-throughput image analysis team. Toxicol Pathol 2016; 44: 825–834.

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