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

You might also read

Related Articles

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

Sort by

Same author

Acoustic strategy for avoiding same-sex amplexus in male concave-eared torrent frogs.

Current biology : CB·2026

Same author

Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.

Science advances·2026

Same author

A CRISPR/Cas13a-Based One-Step System for Rapid Detection of Emerging Viruses: Deployment during the Chikungunya Outbreak in Guangdong Province, China.

ACS sensors·2026

Same author

Polar-coordinated contour processing algorithm in optimizing SCART treatment volume.

Frontiers in oncology·2026

Same author

PRKN Ser131 phosphorylation promotes cigarette smoke-induced mitophagy impairment and epithelial cell senescence via MKK3/p38 MAPK activation: An in vitro and in vivo study.

Tobacco induced diseases·2026

Same author

Site-Specific Olfactory Cleft Opacification Predicts Olfactory Function and Olfactory Training Outcome in Persistent Postinfection Olfactory Dysfunction.

International forum of allergy & rhinology·2026

Search research articles

Related Experiment Video

Updated: Aug 30, 2025

Dynamic Navigation for Dental Implant Placement

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

Multistage adaptive control strategy based on image contour data for autonomous endoscope navigation.

Mingqiang Li¹, Boquan Wang¹, Jianlin Yang¹

¹State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.

Computers in Biology and Medicine

|August 28, 2022

Summary

This study introduces an adaptive control system for autonomous endoscope navigation during colonoscopies. The approach enhances safety and efficiency by using image contour data to guide the endoscope, reducing physician workload.

Keywords:

Autonomous navigation Calculation method of colonoscopy image Computer-assisted endoscope Machine vision

More Related Videos

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

Published on: July 16, 2020

Related Experiment Videos

Last Updated: Aug 30, 2025

Dynamic Navigation for Dental Implant Placement

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

Published on: July 16, 2020

Area of Science:

Medical Imaging
Robotics
Gastroenterology

Background:

Physician burnout and poor ergonomics negatively impact colonoscopy quality and sustainability.
Current colonoscopy procedures can be demanding for physicians and may affect patient experience.

Purpose of the Study:

To develop an autonomous navigation system for endoscopes to reduce physician workload and improve patient outcomes during colonoscopies.
To propose a multistage adaptive control approach utilizing image contour data for endoscope guidance.

Main Methods:

Designed fast image preprocessing and contour extraction algorithms.
Developed adaptive processing algorithms based on extracted contour information to compute endoscope control parameters.
Implemented a novel triple control method for situations where clear contours cannot be extracted, inspired by novice driver steering techniques.

Main Results:

The multistage adaptive control approach was successfully tested on an intestinal model with various curvatures and validated on actual colonoscopy images.
The system demonstrated effectiveness in both straight and tightly curved sections (6 cm radius of curvature).
Achieved a single image processing time of 20-25 ms, 96.7% accuracy in steering judgment, and average velocities of 3.04 cm/s (straight) and 2.49 cm/s (curved).

Conclusions:

The proposed autonomous navigation system shows significant promise for enhancing the safety and efficiency of colonoscopies.
This technology has the potential to alleviate physician burden and improve the overall colonoscopy procedure.
The adaptive control strategy effectively navigates complex anatomical structures, paving the way for more sustainable and higher-quality endoscopic examinations.