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Whole Slide Imaging System: a Valuable Tool for Biorepositories
Author(s) -
Handorf Charles R,
Johns Cameila,
Zhang Jie,
Kulkarni Anand L
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.1030.14
Subject(s) - computer science , digital pathology , variety (cybernetics) , medical physics , data science , medicine , artificial intelligence
Tissue biorepositories classically exist to support biomedical research and development by collecting, classifying, preserving, and supplying biological material. The advent of whole slide imaging (WSI) systems provides a new way to approach the information inherent in tissues. Archiving of static digital images from microscopic slides is of limited value for research, whereas digitizing all of the information on a slide opens up new avenues for collaboration and quantification of the information contained in a slide. We have evaluated 20 tissue cases representing a variety of tissue types and pathological conditions; data collected include evaluation of diagnostic suitability by a panel of pathologists, scanning quality at 20X and 40X magnification, total processing time, scanning time, and file size. Operational characteristics for WSI systems must be optimized; however, these systems will be a valuable tool for biorepositories to create digital archives, to establish the quality of tissues requested by researchers, and to augment data sharing. NCRR 1S10RR025665‐01