Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Tooth Anatomy01:21

Tooth Anatomy

The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or grinding food.
Teeth01:15

Teeth

The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...

You might also read

Related Articles

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

Sort by
Same author

Bifunctional Precursor-Assisted Shell Growth and Exciton Dynamics of Highly Luminescent CuInS<sub>2</sub>/ZnS Quantum Dots.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

A meta-reasoning and dual-level cognitive decision-making approach for blind-spot safety in autonomous driving.

ISA transactions·2026
Same author

An integrated molecular characterization and simulation study of chain length effects on PFAS adsorption at hydrophobic interfaces.

Water research·2026
Same author

Fluorescence encoding technology based tetrahedral nano-string for logic identification of breast cancer cells.

Materials today. Bio·2026
Same author

Shell-thickness-modulated electrochemiluminescence of colloidal quantum dots for ultrasensitive PSA detection.

Biosensors & bioelectronics·2026
Same author

Localized phosphoinositide metabolism regulates STIM1/ORAI1 fast inactivation.

iScience·2026
Same journal

Deep Learning for Brain Tumour Analysis: A Systematic Review of CNN-Transformer Hybrids in Multimodal Imaging.

International journal of biomedical imaging·2026
Same journal

Brain Tumor Segmentation Using U-Net With ResNet50 Encoder for Enhanced MRI Analysis.

International journal of biomedical imaging·2026
Same journal

Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations.

International journal of biomedical imaging·2026
Same journal

Enhancing the Generalizability of Deep Learning-Based Models for Lung Field Segmentation in Chest Radiographs Using Edge-Assisted Multiscale Feature Fusion.

International journal of biomedical imaging·2026
Same journal

Personalized PET Imaging in Gastric Cancer: An Umbrella Review of Meta-Analyses to Guide Radiopharmaceutical Selection and Clinical Indication.

International journal of biomedical imaging·2026
Same journal

Clinician-Centric Explainable Artificial Intelligence Framework for Medical Imaging Diagnostics: A Systematic Review.

International journal of biomedical imaging·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Single-Tooth Modeling for 3D Dental Model.

Tianran Yuan1, Wenhe Liao, Ning Dai

  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China.

International Journal of Biomedical Imaging
|August 7, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for creating accurate 3D dental models of individual teeth from optical scans. The technique effectively separates and restores tooth shapes, crucial for digital dentistry applications.

More Related Videos

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

Related Experiment Videos

Last Updated: Jun 10, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

Area of Science:

  • Biomedical Engineering
  • Computer-Aided Design/Manufacturing (CAD/CAM)

Background:

  • Accurate 3D dental models are essential for modern dentistry.
  • Existing methods may struggle with precise single-tooth segmentation and reconstruction.

Purpose of the Study:

  • To propose an integrated scheme for single-tooth modeling from optical digitizer-acquired 3D dental data.
  • To enhance the accuracy and efficiency of individual tooth reconstruction in digital dental workflows.

Main Methods:

  • Extraction of fusion regions between adjacent teeth based on minimum surface curvature.
  • Restoration of individual tooth shape using bioinformation from generated hole boundaries.
  • Separation of teeth using extracted boundaries from teeth-soft tissue interfaces.

Main Results:

  • The proposed method successfully identifies and classifies fusion regions.
  • Accurate restoration of single tooth shapes with high approximation to real teeth.
  • Correct and sequential separation of individual teeth from the overall 3D dental model.

Conclusions:

  • The integrated single-tooth modeling scheme provides satisfying results for 3D dental models.
  • The method meets the requirements of clinical oral medicine for precise dental restorations.
  • This approach advances digital dentistry by enabling accurate individual tooth modeling.