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 interest11ROI: region of interest. (ROIs) were selected by manual operations within a tumor by using a systematic uniform random sampling22SURS: 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.
Highlights
Tumor angiogenesis is measured by counting microvessels in tissue sections at high power magnification as a potential prognostic or predictive biomarker
Scanned images were examined to check for image quality and to confirm that the whole tissue section was captured (Fig. 2A)
Semi-automatic naming of point annotations in Pannoramic Viewer during manual annotation was performed with a self-written AutoHotkey script AutoTag running in the background and monitoring the activity on the screen
Summary
Tumor angiogenesis is measured by counting microvessels in tissue sections at high power magnification as a potential prognostic or predictive biomarker. 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 Photoshop1 and Bridge1 (Adobe Systems) Semi-automatic naming of point annotations in Pannoramic Viewer during manual annotation was performed with a self-written AutoHotkey script AutoTag running in the background and monitoring the activity on the screen.
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