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Related Concept Videos

Microcracking in Concrete01:20

Microcracking in Concrete

122
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
122

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Related Experiment Video

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Author Spotlight: Establishing an Accurate Microhardness Testing Protocol for Craniofacial Tissues
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Teeth Microcracks Research: Towards Multi-Modal Imaging.

Irma Dumbryte1, Donatas Narbutis2, Maria Androulidaki3

  • 1Institute of Odontology, Vilnius University, LT-08217 Vilnius, Lithuania.

Bioengineering (Basel, Switzerland)
|December 23, 2023
PubMed
Summary

Recent advances in teeth microcrack (MC) research show a shift towards 3D imaging and AI. These methods improve characterization of cracks, aiding in understanding tooth structural integrity and longevity.

Keywords:
X-ray micro-computed tomographyartificial intelligencebiosolidsclinical diagnosticsenamel damagemachine learningspectroscopy

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Area of Science:

  • Dental research
  • Materials science
  • Biomaterials engineering

Background:

  • Microcracks (MCs) in teeth significantly impact structural integrity and longevity.
  • Traditional 2D examination methods have limitations in fully characterizing complex crack networks.

Purpose of the Study:

  • To provide an overview of recent advancements in teeth microcrack research.
  • To highlight the transition towards 3D examination techniques and artificial intelligence in MC analysis.
  • To discuss the integration of multi-modal imaging for comprehensive tooth structural assessment.

Main Methods:

  • Shift from 2D to 3D examination techniques for microcrack analysis.
  • Application of X-ray micro-computed tomography (micro-CT) with machine learning for 3D crack characterization.
  • Utilizing photoluminescence and micro-/nano-Raman spectroscopy for optical and chemical analysis.
  • Integration of multi-modal imaging combining volumetric and dynamic data.

Main Results:

  • 3D characterization of spatially resolved cracks, regardless of location or arrangement.
  • Evaluation of optical properties and chemical composition at microcrack sites.
  • Supplementation of volumetric data with dynamic image data for a holistic view.
  • Demonstration of the need to re-evaluate the role of MCs in tooth structural integrity.

Conclusions:

  • Advanced 3D and multi-modal imaging techniques, enhanced by AI, offer unprecedented insights into teeth microcracks.
  • A comprehensive understanding of MCs is crucial for assessing tooth structural integrity and longevity.
  • Findings contribute to understanding crack propagation in natural hard materials and designing bio-inspired structures.