Deep learning-based segmentation and quantification of podocyte foot process morphology
Deep learning-based segmentation and quantification of podocyte foot process morphology
ABSTRACT The kidneys constantly filter enormous amounts of fluid, with almost complete retention of albumin and other macromolecules in the plasma. Diseases of podocytes at the kidney filtration barrier reduce the intrinsic permeability of the capillary wall resulting in albuminuria. However, direct quantitative assessment of the underlying morphological changes has previously not been possible. Here we developed a deep learning-based approach for segmentation of foot processes in images acquired with optical microscopy. Our method – Automatic Morphological Analysis of Podocytes (AMAP) – accurately segments foot processes and robustly quantifies their morphology. It also robustly determined morphometric parameters, at a Pearson correlation of r > 0.71 with a previously published semi-automated approach, across a large set of mouse tissue samples. The artificial intelligence algorithm wasWe applied the analysis to a set of human kidney disease conditions allowing comprehensive quantification of various underlying morphometric parameters. These results confirmed that when podocytes are injured, they take on a more simplified architecture and the slit diaphragm length is significantly shortened, resulting in a reduction in the filtration slit area and a loss of the buttress force of podocytes which increases the permeability of the glomerular basement membrane to albumin.
Patrakka Jaakko、Witasp Anna、Blom Hans、Hoyer Peter F.、Butt Linus、Unnersj?-Jess David、Sergei German、Benzing Thomas、Bozek Katarzyna、Schermer Bernhard、Wernerson Annika、H?hne Martin
KI/AZ Integrated CardioMetabolic Center, Department of Laboratory Medicine. Karolinska Institutet at Karolinska University Hospital HuddingeDivision of Renal Medicine, Department of Clinical Sciences, Intervention and Technology, Karolinska InstituteScience for Life Laboratory, Dept. of Applied Physics, Royal Institute of TechnologyPediatric Nephrology, Pediatrics II, University of Duisburg-EssenDepartment II of Internal Medicine and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital CologneDepartment II of Internal Medicine and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne||Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of CologneCenter for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital CologneDepartment II of Internal Medicine and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne||Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne||Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital CologneCenter for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital CologneDepartment II of Internal Medicine and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne||Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of CologneDivision of Renal Medicine, Department of Clinical Sciences, Intervention and Technology, Karolinska InstituteDepartment II of Internal Medicine and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne||Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne
基础医学生物科学研究方法、生物科学研究技术生理学
Patrakka Jaakko,Witasp Anna,Blom Hans,Hoyer Peter F.,Butt Linus,Unnersj?-Jess David,Sergei German,Benzing Thomas,Bozek Katarzyna,Schermer Bernhard,Wernerson Annika,H?hne Martin.Deep learning-based segmentation and quantification of podocyte foot process morphology[EB/OL].(2025-03-28)[2025-08-02].https://www.biorxiv.org/content/10.1101/2021.06.14.448284.点此复制
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