ArticleMethods in molecular biology (Clifton, N.J.)2023
Quantitative Imaging of Podocyte Foot Processes in the Kidney Using Confocal and STED Microscopy.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The lipid-podocyte axis: emerging clues in membranous nephropathy pathogenesis.Frontiers in medicine · 2026Review
- A New Quantitative Metric for Precise Classification of Diabetic Podocyte Injury Using Scanning Electron Microscopy.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2025Article
- Podocytes in health and glomerular disease.Frontiers in cell and developmental biology · 2025Review
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Authors and funding
1 author.
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Abstract
Morphological alterations to the kidney filter, particularly to podocyte foot processes, are seen in most types of glomerular diseases. Due to the nanoscale dimensions of the filter, visualization of such alterations has historically relied on electron microscopy. However, with recent technical development, it is now possible to also visualize podocyte foot processes, as well as other parts of the kidney filtration barrier, with light microscopy. With developments both in sample preparation, imaging, and image analysis, these new tools are becoming increasingly applied in kidney research, due to their demonstrated quantitative potential. We here present an overview of these protocols that can be applied to samples that have been fixed and stored using most standard procedures used today (i.e., PFA fixed, fresh frozen, formalin-fixed and paraffin-embedded (FFPE)). We additionally introduce tools for quantitative image analysis of foot process morphology and foot process effacement.
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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.