Community challenge towards consensus on characterization of biological tissue: C4Bio's first findings

Nele Famaey*, Yoann Lafon, Ali Akyildiz, Silke Dreesen, Jean Marc Allain, Marta Alloisio, Alejandro Aparici-Gil, Chiara Catalano, Fanette Chassagne, More Authors

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This study investigates methodological variability across various expert laboratories worldwide, with regards to characterizing the mechanical properties of biological tissues. Two testing rounds were conducted on the specific use case of uniaxial tensile testing of porcine aorta. In the first round, 24 labs were invited to apply their established methods to assess inter-laboratory variability. This revealed significant methodological diversity and associated variability in the stress–stretch results, underscoring the necessity for a standardized approach. In the second round, a consensus protocol was collaboratively developed and adopted by 19 labs in an attempt to minimize variability. This involved standardized sample preparation and uniformity in testing protocol, including the use of a common cutting and thickness measurement tool. Despite protocol harmonization, significant variability persisted across labs, which could not be solely attributed to inherent biological differences in tissue samples. These results illustrate the challenges in unifying testing methods across different research settings, underlining the necessity for further refinement of testing practices. Enhancing consistency in biomechanical experiments is pivotal when comparing results across studies, as well as when using the resulting material properties for in silico simulations in medical research.

Original languageEnglish
Article number113021
Number of pages15
JournalJournal of Biomechanics
Volume194
DOIs
Publication statusPublished - 2026

Bibliographical note

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Keywords

  • Biomechanical characterization
  • Methodological variability
  • Standardization
  • Uncertainty

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