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Technologies supporting analytical cytology: clinical, research and drug discovery applications
Author(s) -
Cecic Ivana K.,
Li Gerald,
MacAulay Calum
Publication year - 2012
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201100093
Subject(s) - prognostics , drug discovery , biomarker discovery , computer science , drug development , biomarker , personalized medicine , medical physics , data science , computational biology , bioinformatics , medicine , drug , biology , data mining , pharmacology , proteomics , biochemistry , gene
The tools and techniques developed for analytical cytology have become invaluable in expanding the development of cancer screening programs and biomarker discovery for personalized medicine. Detecting cellular, molecular, and functional changes of diseased tissue as defined by quantitative analytical methodologies has enhanced the field of medical diagnostics and prognostics. The focus of this review is to outline applications and recent technical advances in flow cytometry, laser scanning cytometry, image cytometry, and quantitative image analysis, as they pertain to clinical, research, and drug discovery applications. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)