ArticleJCI insight2021
Deep learning-based molecular morphometrics for kidney biopsies.
Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 47 citations in OpenAlex.
- Anti-neutrophil cytoplasmic antibody-associated vasculitis: biological insights and biomarker-guided disease management.Nature reviews. Nephrology · 2026Review
- Decreased parietal epithelial cell density is linked to podocyte depletion and predictors of kidney disease progression in human kidneys.American journal of physiology. Renal physiology · 2025Article
- Automated Mucormycosis Diagnosis from Paranasal CT Using ResNet50 and ConvNeXt Small.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Super-resolved highly multiplexed immunofluorescence imaging for precise protein localization and podocyte ultrastructure.Journal of cellular and molecular medicine · 2024Article
- Advancing preclinical drug evaluation through automated 3D imaging for high-throughput screening with kidney organoids.Biofabrication · 2024Article
- Article
- tRigon: an R package and Shiny App for integrative (path-)omics data analysis.BMC bioinformatics · 2024Article
- [Advances in computational quantitative nephropathology].Pathologie (Heidelberg, Germany) · 2024Review
- Podocyte number and glomerulosclerosis indices are associated with the response to therapy for primary focal segmental glomerulosclerosis.Frontiers in medicine · 2024Article
- Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Implications for Improved Diagnosis in Kidney Diseases.IEEE journal of translational engineering in health and medicine · 2024Article
- Challenges of defining renal response in ANCA-associated vasculitis: call to action?Clinical kidney journal · 2023Review
- High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.Scientific reports · 2023Article
- Next-Generation Morphometry for pathomics-data mining in histopathology.Nature communications · 2023Article
- Multicytokine-producing CD4+ T cells characterize the livers of patients with NASH.JCI insight · 2023Article
- No NLRP3 inflammasome activity in kidney epithelial cells, not even when the NLRP3-A350V Muckle-Wells variant is expressed in podocytes of diabetic mice.Frontiers in immunology · 2023Article
- Towards a comprehensive approach for characterizing cell activity in bright-field microscopic images.Scientific reports · 2022Article
- ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.Journal of cellular and molecular medicine · 2022Article
- Article
- PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images.Journal of the American Society of Nephrology : JASN · 2021Article
Corrections and comments
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Authors and funding
19 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific cellular morphometrics in human kidney biopsies, which combines indirect immunofluorescence imaging with U-Net-based architectures for image-to-image translation and dual segmentation tasks, achieving human-level accuracy. In the kidney, podocyte loss represents a hallmark of glomerular injury and can be estimated in diagnostic biopsies. Thus, we profiled over 27,000 podocytes from 110 human samples, including patients with antineutrophil cytoplasmic antibody-associated glomerulonephritis (ANCA-GN), an immune-mediated disease with aggressive glomerular damage and irreversible loss of kidney function. We identified previously unknown morphometric signatures of podocyte depletion in patients with ANCA-GN, which allowed patient classification and, in combination with routine clinical tools, showed potential for risk stratification. Our approach enables robust and scalable molecular morphometric analysis of human tissues, yielding deeper biological insights into the human kidney pathophysiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.