Literature DB >> 26738084

High-throughput analysis of tissue-based biomarkers in digital pathology.

Yves-Rémi Van Eycke, Olivier Debeir, Laurine Verset, Pieter Demetter, Isabelle Salmon, Christine Decaestecker.   

Abstract

By simultaneously processing a large number of tissue samples, the tissue microarray (TMA) technology allows standardized screening of protein expression using immunohistochemistry thereby providing a very efficient way for tissue-based biomarker analysis. Nowadays, whole slide imaging is becoming standard in digital pathology and enables image sharing, archiving and also processing. In this paper, we present methods for processing TMA images in order to correctly identify the numerous tissue samples and to register images from consecutive TMA sections.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26738084     DOI: 10.1109/EMBC.2015.7320184

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Image processing in digital pathology: an opportunity to solve inter-batch variability of immunohistochemical staining.

Authors:  Yves-Rémi Van Eycke; Justine Allard; Isabelle Salmon; Olivier Debeir; Christine Decaestecker
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

2.  A prospective clinical study of the implications of IL-8 in the diagnosis, aggressiveness and prognosis of prostate cancer.

Authors:  Thierry Roumeguère; Francois Legrand; Elie El Rassy; Mehdi Idrissi Kaitouni; Simone Albisinni; Alexandre Rousseau; Michel Vanhaeverbeek; Sandrine Rorive; Christine Decaestecker; Olivier Debeir; Karim Zouaoui Boudjeltia; Fouad Aoun
Journal:  Future Sci OA       Date:  2017-11-15
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.