ArticleJournal of biomechanics2024
A method for analyzing AFM force mapping data obtained from soft tissue cryosections.
Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 9 citations in OpenAlex.
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- Microtubule stability modulates Schlemm's canal cell mechanobiology and outflow facility in glaucoma.bioRxiv : the preprint server for biology · 2026Article
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- Segmental outflow and trabecular meshwork stiffness in an ocular hypertensive mouse model.bioRxiv : the preprint server for biology · 2026Article
- Untangling the fusion of spatial omics and mechanobiology.Progress in biomedical engineering (Bristol, England) · 2025Review
- Transient receptor potential vanilloid 4 modulates substrate stiffness mechanosensing and transcellular pore formation in human Schlemm's canal cells.Acta biomaterialia · 2025Article
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8 authors at 2 institutions in 1 country.
Funding
Abstract
Atomic force microscopy (AFM) is a valuable tool for assessing mechanical properties of biological samples, but interpretations of measurements on whole tissues can be difficult due to the tissue's highly heterogeneous nature. To overcome such difficulties and obtain more robust estimates of tissue mechanical properties, we describe an AFM force mapping and data analysis pipeline to characterize the mechanical properties of cryosectioned soft tissues. We assessed this approach on mouse optic nerve head and rat trabecular meshwork, cornea, and sclera. Our data show that the use of repeated measurements, outlier exclusion, and log-normal data transformation increases confidence in AFM mechanical measurements, and we propose that this methodology can be broadly applied to measuring soft tissue properties from cryosections.
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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.