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AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images
Author(s) -
Koen M. Marien,
Luc Andries,
Stefanie De Schepper,
Mark Kockx,
Guido R.Y. De Meyer
Publication year - 2015
Publication title -
methodsx
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 23
ISSN - 2215-0161
DOI - 10.1016/j.mex.2015.05.002
Subject(s) - computer science , magnification , sampling (signal processing) , microvessel , computer vision , artificial intelligence , computer hardware , angiogenesis , medicine , cancer research , filter (signal processing)
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 (ROIs) were selected by manual operations within a tumor by using a systematic uniform random sampling (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(®) and Bridge(®) (Adobe Systems) This rapid procedure allows traceability essential for high throughput protein analysis of immunohistochemically stained tissue.

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