QuPath Digital Immunohistochemical Analysis of Placental Tissue

Ashley L. Hein; Maheswari Mukherjee; Geoffrey A. Talmon; Sathish Kumar Natarajan; Tara M. Nordgren; Elizabeth Lyden; Corrine K. Hanson; Jesse L. Cox; Annelisse Santiago-Pintado; Mariam A. Molani; Matthew Van Ormer; Maranda Thompson; Melissa Thoene; Aunum Akhter; Ann Anderson-Berry; Ana G. Yuil-Valdes

doi:10.4103/jpi.jpi_11_21

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QuPath Digital Immunohistochemical Analysis of Placental Tissue

Journal article

Open access

Peer reviewed

QuPath Digital Immunohistochemical Analysis of Placental Tissue

Ashley L. Hein, Maheswari Mukherjee, Geoffrey A. Talmon, Sathish Kumar Natarajan, Tara M. Nordgren, Elizabeth Lyden, Corrine K. Hanson, Jesse L. Cox, Annelisse Santiago-Pintado, Mariam A. Molani, …

Journal of pathology informatics, Vol.12(1), pp.40-40

2021

DOI: 10.4103/jpi.jpi_11_21

PMCID: PMC8609285

PMID: 34881095

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Abstract

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.

Digital pathology

G-protein coupled receptor 18

image analysis

placenta

QuPath

whole slide image

Details

Title: Subtitle: QuPath Digital Immunohistochemical Analysis of Placental Tissue
Creators: Ashley L. Hein - University of Nebraska Medical Center
Maheswari Mukherjee - University of Nebraska Medical Center
Geoffrey A. Talmon - University of Nebraska Medical Center
Sathish Kumar Natarajan - University of Nebraska–Lincoln
Tara M. Nordgren - University of California, Riverside
Elizabeth Lyden - University of Nebraska Medical Center
Corrine K. Hanson - Nebraska Medical Center
Jesse L. Cox - University of Nebraska Medical Center
Annelisse Santiago-Pintado - University of Nebraska Medical Center
Mariam A. Molani - The University of Texas Southwestern Medical Center
Matthew Van Ormer - University of Nebraska Medical Center
Maranda Thompson - University of Nebraska Medical Center
Melissa Thoene - University of Nebraska Medical Center
Aunum Akhter - University of Michigan
Ann Anderson-Berry - University of Nebraska Medical Center
Ana G. Yuil-Valdes - University of Nebraska Medical Center
Resource Type: Journal article
Publication Details: Journal of pathology informatics, Vol.12(1), pp.40-40
DOI: 10.4103/jpi.jpi_11_21
PMID: 34881095
PMCID: PMC8609285
NLM abbreviation: J Pathol Inform
ISSN: 2153-3539
eISSN: 2153-3539
Publisher: Elsevier Inc
Language: English
Date published: 2021
Academic Unit: Stead Family Department of Pediatrics; Neonatology
Record Identifier: 9984701654602771

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