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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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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 |
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author | Marien, Koen M. Andries, Luc De Schepper, Stefanie Kockx, Mark M. De Meyer, Guido R.Y. |
author_facet | Marien, Koen M. Andries, Luc De Schepper, Stefanie Kockx, Mark M. De Meyer, Guido R.Y. |
author_sort | Marien, Koen M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4487922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-44879222015-07-06 AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images Marien, Koen M. Andries, Luc De Schepper, Stefanie Kockx, Mark M. De Meyer, Guido R.Y. MethodsX Agricultural and Biological Science 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. Elsevier 2015-05-21 /pmc/articles/PMC4487922/ /pubmed/26150998 http://dx.doi.org/10.1016/j.mex.2015.05.002 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Marien, Koen M. Andries, Luc De Schepper, Stefanie Kockx, Mark M. De Meyer, Guido R.Y. AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title | AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title_full | AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title_fullStr | AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title_full_unstemmed | AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title_short | AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images |
title_sort | autotag and autosnap: standardized, semi-automatic capture of regions of interest from whole slide images |
topic | Agricultural and Biological Science |
url | 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 |
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