Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner : PLoS One

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Holmström , O , Linder , N , Lundin , M , Moilanen , H , Suutala , A , Turkki , R , Joensuu , H , Isola , J , Diwan , V & Lundin , J 2015 , ' Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner : PLoS One ' , PLoS One , vol. 10 , no. 12 , 0144688 . https://doi.org/10.1371/journal.pone.0144688

Title: Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner : PLoS One
Author: Holmström, Oscar; Linder, Nina; Lundin, Mikael; Moilanen, Hannu; Suutala, Antti; Turkki, Riku; Joensuu, Heikki; Isola, Jorma; Diwan, Vinod; Lundin, Johan
Contributor organization: Institute for Molecular Medicine Finland
Clinicum
Johan Edvard Lundin / Principal Investigator
Translational Cancer Biology (TCB) Research Programme
Research Programs Unit
Heikki Joensuu / Principal Investigator
Department of Oncology
Date: 2015
Language: eng
Number of pages: 16
Belongs to series: PLoS One
ISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0144688
URI: http://hdl.handle.net/10138/160569
Abstract: INTRODUCTION: A significant barrier to medical diagnostics in low-resource environments is the lack of medical care and equipment. Here we present a low-cost, cloud-connected digital microscope for applications at the point-of-care. We evaluate the performance of the device in the digital assessment of estrogen receptor-alpha (ER) expression in breast cancer samples. Studies suggest computer-assisted analysis of tumor samples digitized with whole slide-scanners may be comparable to manual scoring, here we study whether similar results can be obtained with the device presented. MATERIALS AND METHODS: A total of 170 samples of human breast carcinoma, immunostained for ER expression, were digitized with a high-end slide-scanner and the point-of-care microscope. Corresponding regions from the samples were extracted, and ER status was determined visually and digitally. Samples were classified as ER negative (
Subject: 3122 Cancers
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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