Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cryo-electron Microscopy

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

Microcracking in Concrete

Microcracking in Concrete

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Beech latewood density as a proxy for temperature reconstruction.

Science advances·2026

Same author

Biomimetic characterization by micro-computed tomography (μCT) of 3D hollow fibre membrane network bioreactors for tissue engineering.

Biomaterials science·2026

Same author

Predicting dialyzer fiber blocking is hard due to high intrapatient variability and limited utility of thrombin generation markers.

Scientific reports·2026

Same author

Exposure to 5G-NR electromagnetic fields affects larval development of Aedes aegypti mosquito.

Scientific reports·2025

Same author

Optics for broadband x-ray ptychography.

The Review of scientific instruments·2025

Same author

Distinct Morphological Types of Small Airway Obstructions in Smokers with Emphysema and End-Stage Chronic Obstructive Pulmonary Disease.

American journal of respiratory and critical care medicine·2025

Search research articles

Related Experiment Video

Updated: May 28, 2025

Author Spotlight: Establishing an Accurate Microhardness Testing Protocol for Craniofacial Tissues

Author Spotlight: Establishing an Accurate Microhardness Testing Protocol for Craniofacial Tissues

Published on: April 26, 2024

The effect of cryopreservation on enamel microcracks - A μCT analysis using a deep learning algorithm.

Noëmi M C De Roo¹, Pierre Kibleur², Liesbeth Temmerman¹

¹Oral Health Sciences, Department of Orthodontics, Ghent University, C. Heymanslaan 10, 9000, Ghent, Belgium.

|February 10, 2025

Summary

Cryopreservation causes dental enamel microcracks to worsen and new ones to form. A novel deep learning method using microCT analysis precisely quantifies this tooth damage, aiding future dental research.

Keywords:

Artificial intelligence Convolutional neural network Cryopreservation Dentin Enamel Microcracks Tooth autotransplantation

More Related Videos

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Related Experiment Videos

Last Updated: May 28, 2025

Author Spotlight: Establishing an Accurate Microhardness Testing Protocol for Craniofacial Tissues

Author Spotlight: Establishing an Accurate Microhardness Testing Protocol for Craniofacial Tissues

Published on: April 26, 2024

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Area of Science:

Dental research
Materials science
Biotechnology

Background:

Dental enamel microcracks are difficult to detect with traditional methods.
The impact of cryopreservation on these microcracks is not well understood.

Purpose of the Study:

To investigate the effect of cryopreservation on dental enamel microcracks.
To develop and apply a deep learning-based microCT analysis for quantifying enamel damage.

Main Methods:

A U-Net neural network architecture was trained for semantic segmentation of microcracks.
Microcomputed tomography (microCT) was used to scan teeth before and after cryopreservation.
A dataset was created through manual annotation for training and testing the deep learning model.

Main Results:

The deep learning model successfully segmented microcracks as thin as 2-3 voxels.
All teeth showed enamel microcracks, with increased damage and new cracks post-cryopreservation.
The average crack/enamel ratio increased from 0.066% before cryopreservation to 0.087% after.

Conclusions:

Cryopreservation exacerbates existing enamel microcracks and creates new ones.
A novel, scalable, and precise deep learning method can quantify cryopreservation-induced tooth damage.
This approach facilitates future research on dental enamel integrity in various dental fields.