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AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images

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) appro...

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Detalles Bibliográficos
Autores principales: Marien, Koen M., Andries, Luc, De Schepper, Stefanie, Kockx, Mark M., De Meyer, Guido R.Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487922/
https://www.ncbi.nlm.nih.gov/pubmed/26150998
http://dx.doi.org/10.1016/j.mex.2015.05.002
Descripción
Sumario: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.