QuPath Digital Immunohistochemical Analysis of Placental Tissue
| العنوان: | QuPath Digital Immunohistochemical Analysis of Placental Tissue |
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| المؤلفون: | Maranda Thompson, Mariam A Molani, Ana Yuil-Valdes, Tara M. Nordgren, Jesse L. Cox, Geoffrey A. Talmon, Ashley L. Hein, Elizabeth Lyden, Aunum Akhter, Matthew Van Ormer, Ann Anderson-Berry, Melissa Thoene, Sathish Kumar Natarajan, Annelisse Santiago-Pintado, Corrine Hanson, Maheswari Mukherjee |
| المصدر: | Journal of Pathology Informatics Journal of Pathology Informatics, Vol 12, Iss 1, Pp 40-40 (2021) |
| بيانات النشر: | Elsevier BV, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | placenta, Computer applications to medicine. Medical informatics, R858-859.7, Health Informatics, Resolvin D2, Pathology and Forensic Medicine, Digital image, image analysis, Visual scoring, Pathology, RB1-214, Digital pathology, Medicine, business.industry, Placental tissue, Computer Science Applications, Staining, G-protein coupled receptor 18, QuPath, whole slide image, Digital image analysis, Immunohistochemistry, business, Research Article, Biomedical engineering |
| الوصف: | Background: QuPath is an open-source digital image analyzer notable for its user-friendly design, cross-platform compatibility, and customizable functionality. Since it was first released in 2016, at least 624 publications have reported its use, and it has been applied in a wide spectrum of settings. However, there are currently limited reports of its use in placental tissue. Here, we present the use of QuPath to quantify staining of G-protein coupled receptor 18 (GPR18), the receptor for the pro-resolving lipid mediator Resolvin D2, in placental tissue. Methods: Whole slide images of vascular smooth muscle (VSM) and extravillous trophoblast (EVT) cells stained for GPR18 were annotated for areas of interest. Visual scoring was performed on these images by trained and in-training pathologists, while QuPath scoring was performed with the methodology described herein. Results: Bland–Altman analyses showed that, for the VSM category, the two methods were comparable across all staining levels. For EVT cells, the high-intensity staining level was comparable across methods, but the medium and low staining levels were not comparable. Conclusions: Digital image analysis programs offer great potential to revolutionize pathology practice and research by increasing accuracy and decreasing the time and cost of analysis. Careful study is needed to optimize this methodology further. |
| تدمد: | 2153-3539 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c240be3fc648e8b950d5f75e059c5893 https://doi.org/10.4103/jpi.jpi_11_21 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....c240be3fc648e8b950d5f75e059c5893 |
| قاعدة البيانات: | OpenAIRE |
Full Text via ClinicalKey | تدمد: | 21533539 |
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