Publication
Title
AutoTag and AutoSnap : standardized, semi-automatic capture of regions of interest from whole slide images
Author
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.
Language
English
Source (journal)
MethodsX
Publication
2015
ISSN
2215-0161
Volume/pages
2(2015), p. 272-277
ISI
000370471500037
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 28.05.2015
Last edited 13.10.2017
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