Title
AutoTag and AutoSnap : standardized, semi-automatic capture of regions of interest from whole slide images
Author
Faculty/Department
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences. Pharmacy
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Subject
Pharmacology. Therapy
Human medicine
Engineering sciences. Technology
Source (journal)
MethodsX
Volume/pages
2(2015) , p. 272-277
ISSN
2215-0161
ISI
000370471500037
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Tumor angiogenesis is measured by counting microvessels in tissue sections at high power magnification as a potential prognostic or predictive biomarker. Until now, regions of interest(1) (ROls) were selected by manual operations within a tumor by using a systematic uniform random sampling(2) (SURS) approach. Although SURS is the most reliable sampling method, it implies a high workload. However, SURS can be semi-automated and in this way contribute to the development of a validated quantification method for microvessel counting in the clinical setting. Here, we report a method to use semi-automated SURS for microvessel counting: Whole slide imaging with Pannoramic SCAN (3DHISTECH) Computer-assisted sampling in Pannoramic Viewer (3DHISTECH) extended by two self-written AutoHotkey applications (AutoTag and AutoSnap) The use of digital grids in Photoshop (R)) and Bridge (R) (Adobe Systems) This rapid procedure allows traceability essential for high throughput protein analysis of immunohistochemically stained tissue. (C) 2015 The Authors. Published by Elsevier B.V.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/02d627/f637e1c9.pdf
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