Work

A novel automated method for comprehensive renal cast quantification from rat kidney sections using QuPath

Year: 2024

Type: article

Abstract: We developed a method of automated renal tubule cast quantification using a machine learning-based pixel classifier within QuPath, an open-source image analysis software. The advantages of this approach are demonstrated by rigorous comparison of quantification methods on a set of Masson's trichrome-stained kidney sections from high- and low-salt fed salt-sensitive Dahl rats. Researchers are provided with step-by-step instructions for creating and training a pixel classifier in QuPath for application to image analysis.

Source: American Journal of Physiology-Renal Physiology

DOI: 10.1152/ajprenal.00252.2024

Authors: Lauren Yunker, Megan Cleland Harwig, Alison J. Kriegel

Institutions: Medical College of Wisconsin, Augusta University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid