ArticlePloS one2019
Automated analysis of soft hydrogel microindentation: Impact of various indentation parameters on the measurement of Young's modulus.
Article in PloS one, 2019. 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.
- Multiomics analysis identifies VPA-induced changes in neural progenitor cells, ventricular-like regions, and cellular microenvironment in dorsal forebrain organoids.Molecular psychiatry · 2026Article
- Strategies and Technologies for Comprehensive Characterization of Hydrogel-Based Materials in the Biomedical Field.Polymers · 2026Review
- A Wearable System Featuring Biomimetic Spatially Distributed Iontronic Sensing Array for Dynamic Monitoring of Deep Tissue Modulus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mechanical Characterization of Stick Insect Tarsal Attachment Fluid Using Atomic Force Microscopy (AFM).Biomimetics (Basel, Switzerland) · 2026Article
- Dimensional memory in glioblastoma mechanics: Traction force analysis of cells cultured in 2D versus 3D collagen environments.Bioactive materials · 2026Article
- Mechanical Tuning of the Cell Microenvironment Using a Biomimetic Hydrogel System for Articular Cartilage Tissue Engineering.Journal of tissue engineering and regenerative medicine · 2026Article
- Substrate stiffness modulates phenotype-dependent fibroblast contractility and migration independent of TGF-Mechanobiology in medicine · 2025Article
- RAB5A Promotes Active Fluid Wetting by Reprogramming Breast Cancer Spheroid Mechanics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Matrix degradation enhances stress relaxation, regulating cell adhesion and spreading.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dynamic and Reversible Tuning of Hydrogel Viscoelasticity by Transient Polymer Interactions for Controlling Cell Adhesion.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Integrating Mechanics and Bioactivity: A Detailed Assessment of Elasticity and Viscoelasticity at Different Scales in 2D Biofunctionalized PEGDA Hydrogels for Targeted Bone Regeneration.ACS applied materials & interfaces · 2024Article
- Degradability tunes ECM stress relaxation and cellular mechanics.bioRxiv : the preprint server for biology · 2024Article
- Profiling native pulmonary basement membrane stiffness using atomic force microscopy.Nature protocols · 2024Article
- Nanoindentation Response of 3D Printed PEGDA Hydrogels in a Hydrated Environment.ACS applied polymer materials · 2023Article
- Compressive Mechanical Behavior of Partially Oxidized Polyvinyl Alcohol Hydrogels for Cartilage Tissue Repair.Bioengineering (Basel, Switzerland) · 2022Article
- Surface characterization of an ultra-soft contact lens material using an atomic force microscopy nanoindentation method.Scientific reports · 2022Article
- Atomic Force Microscopy (AFM) on Biopolymers and Hydrogels for Biotechnological Applications-Possibilities and Limits.Polymers · 2022Review
- Quantifying force transmission through fibroblasts: changes of traction forces under external shearing.European biophysics journal : EBJ · 2022Article
- Biocompatible micro tweezers for 3D hydrogel organoid array mechanical characterization.PloS one · 2022Article
- An Optimized O9-1/Hydrogel System for Studying Mechanical Signals in Neural Crest Cells.Journal of visualized experiments : JoVE · 2021Article
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Authors and funding
3 authors.
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Abstract
Measurements of Young's moduli are mostly evaluated using strong assumptions, such as sample homogeneity and isotropy. At the same time, descriptions of measurement parameters often lack detailed specifications. Many of these assumptions are, for soft hydrogels especially, not completely valid and the complexity of hydrogel microindentation demands more sophisticated experimental procedures in order to describe their elastic properties more accurately. We created an algorithm that automates indentation data analysis as a basis for the evaluation of large data sets with consideration of the influence of indentation depth on the measured Young's modulus. The algorithm automatically determines the Young's modulus in indentation regions where it becomes independent of the indentation depth and furthermore minimizes the error from fitting an elastic model to the data. This approach is independent of the chosen elastic fitting model and indentation device. With this, we are able to evaluate large amounts of indentation curves recorded on many different sample positions and can therefore apply statistical methods to overcome deviations due to sample inhomogeneities. To prove the applicability of our algorithm, we carried out a systematic analysis of how the indentation speed, indenter size and sample thickness affect the determination of Young's modulus from atomic force microscope (AFM) indentation curves on polyacrylamide (PAAm) samples. We chose the Hertz model as the elastic fitting model for this proof of principle of our algorithm and found that all of these parameters influence the measured Young's moduli to a certain extent. Hence, it is essential to clearly state the experimental parameters used in microindentation experiments to ensure reproducibility and comparability of data.
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