ReviewMicromachines2023
Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM.
Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Comparing Nanomechanical Properties and Membrane Roughness Along the Aging of Human Erythrocytes.Methods and protocols · 2025Article
- Two Peas in a Pod: Retroviral RNA Dimers Organize Gag-RNA Nanoclusters with Novel Biophysical Properties.International journal of molecular sciences · 2025Article
- Two peas in a pod: retroviral RNA dimers organize Gag-RNA nanoclusters with novel biophysical properties.bioRxiv : the preprint server for biology · 2025Article
- Analysis of Biomechanical Characteristics of Bone Tissues Using a Bayesian Neural Network: A Narrative Review.Journal of functional biomaterials · 2025Review
- Extracellular matrix in vascular homeostasis and disease.Nature reviews. Cardiology · 2025Review
- Exploiting Matrix Stiffness to Overcome Drug Resistance.ACS biomaterials science & engineering · 2024Review
- Investigation of dermal collagen nanostructures in Ehlers-Danlos Syndrome (EDS) patients.PloS one · 2024Article
- Atomic Force Microscopy Imaging of Elastin Nanofibers Self-Assembly.Materials (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Measuring the mechanical properties (i.e., elasticity in terms of Young's modulus) of biological samples using Atomic Force Microscopy (AFM) indentation at the nanoscale has opened new horizons in studying and detecting various pathological conditions at early stages, including cancer and osteoarthritis. It is expected that AFM techniques will play a key role in the future in disease diagnosis and modeling using rigorous mathematical criteria (i.e., automated user-independent diagnosis). In this review, AFM techniques and mathematical models for determining the spatial variability of elastic properties of biological materials at the nanoscale are presented and discussed. Significant issues concerning the rationality of the elastic half-space assumption, the possibility of monitoring the depth-dependent mechanical properties, and the construction of 3D Young's modulus maps are also presented.
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What OpenQuestion holds
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.