作者: Peter W. Hamilton , Peter Bankhead , Yinhai Wang , Ryan Hutchinson , Declan Kieran
DOI: 10.1016/J.YMETH.2014.06.015
关键词: Data science 、 Molecular pathology 、 Personalized medicine 、 Companion diagnostic 、 Biobank 、 Biomarker discovery 、 Bioinformatics 、 Tissue microarray 、 Digital pathology 、 Biology 、 Molecular pathological epidemiology
摘要: Digital pathology and the adoption of image analysis have grown rapidly in last few years. This is largely due to implementation whole slide scanning, advances software computer processing capacity increasing importance tissue-based research for biomarker discovery stratified medicine. review sets out key application areas digital analysis, with a particular focus on discovery. A variety applications are reviewed including nuclear morphometry tissue architecture but emphasis immunohistochemistry fluorescence biomarkers. important roles across drug/companion diagnostic development pipeline biobanking, molecular pathology, microarray profiling these developments reviewed. Underpinning all need high quality samples impact pre-analytical variables discussed. requirement combined practical advice setting up running laboratory. Finally, we discuss integrate data epidemiological, clinical genomic order fully understand relationship between genotype phenotype drive delivery personalized