ArticleKidney international reports2022
PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool.
Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Podometrics as a translational platform for kidney health and disease: Oshima award address 2025.Clinical and experimental nephrology · 2026Review
- Superior transplant recipient outcome prediction and pathology assessment using rapid deep learning applied to procurement kidney biopsies.Scientific reports · 2025Article
- Article
- NAD deficiency contributes to progressive kidney disease in HIV-nephropathy mice.American journal of physiology. Renal physiology · 2024Article
- PKR activation-induced mitochondrial dysfunction in HIV-transgenic mice with nephropathy.eLife · 2024Article
- Tectonic infarct analysis: A computational tool for automated whole-brain infarct analysis from TTC-stained tissue.Heliyon · 2023Article
- Biologically Informed Clot Histomics Are Predictive of Acute Ischemic Stroke Etiology.Stroke (Hoboken, N.J.) · 2023Article
- Variant APOL1 protein in plasma associates with larger particles in humans and mouse models of kidney injury.PloS one · 2022Article
- PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images.Journal of the American Society of Nephrology : JASN · 2021Article
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Authors and funding
17 authors at 8 institutions in 2 countries.
Funding
Abstract
Introduction: Podocyte depletion is a histomorphologic indicator of glomerular injury and predicts clinical outcomes. Podocyte estimation methods or podometrics are semiquantitative, technically involved, and laborious. Implementation of high-throughput podometrics in experimental and clinical workflows necessitates an automated podometrics pipeline. Recognizing that computational image analysis offers a robust approach to study cell and tissue structure, we developed and validated PodoCount (a computational tool for automated podocyte quantification in immunohistochemically labeled tissues) using a diverse data set. Methods: Whole-slide images (WSIs) of tissues immunostained with a podocyte nuclear marker and periodic acid-Schiff counterstain were acquired. The data set consisted of murine whole kidney sections ( Results: PodoCount produced highly accurate podocyte quantification when benchmarked against existing methods. Podocyte nuclear profiles were identified with 0.98 accuracy and segmented with 0.85 sensitivity and 0.99 specificity. Errors in podocyte count were bounded by 1 podocyte per glomerulus. Podocyte-specific image features were found to be significant predictors of disease state, proteinuria, and clinical outcome. Conclusion: PodoCount offers high-performance podocyte quantitation in diverse murine disease models and in human kidney biopsy specimens. Resultant features offer significant correlation with associated metadata and outcome. Our cloud-based tool will provide end users with a standardized approach for automated podometrics from gigapixel-sized WSIs.
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Registered trials
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