A TMA De-Arraying Method for High Throughput Biomarker Discovery in Tissue Research

• Published in: PloS one Vol. 6; no. 10; p. e26007
• Main Authors: Wang, Yinhai, Savage, Kienan, Grills, Claire, McCavigan, Andrena, James, Jacqueline A., Fennell, Dean A., Hamilton, Peter W.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.10.2011; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Analysis; Apoptosis; Artefacts; Automation; Batch processing; Biology; Biomarkers; Biomarkers - metabolism; Cancer; Cluster analysis; Computer Science; Cores; Delaunay triangulation; Engineering; Genetic algorithms; Histology; Humans; Image processing; Image resolution; Image segmentation; Mapping; Mathematics; Medical imaging; Medical research; Medicine; Metadata; Methods; Microprocessors; Microscopy; Protein expression; Proteins; Robustness; Sectioning; Statistics as Topic - methods; Stretching; Studies; Tissue Array Analysis - methods

Tissue MicroArrays (TMAs) represent a potential high-throughput platform for the analysis and discovery of tissue biomarkers. As TMA slides are produced manually and subject to processing and sectioning artefacts, the layout of TMA cores on the final slide and subsequent digital scan (TMA digital sl...