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

Cell Migration

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.

You might also read

Related Articles

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

Sort by

Same author

A Semi-Automated Robotic Platform for Curvilinear Catheter Implantation in HDR Prostate and GYN Brachytherapy.

Journal of medical robotics research·2026

Same author

Towards Design and Development of an MRI Conditional Robot to Enable Curvilinear Transperineal Prostate Biopsy.

The international journal of medical robotics + computer assisted surgery : MRCAS·2024

Same author

Closed-Loop Control of a Tendon-Driven Active Needle for Tip Tracking at Desired Bending Angle for High-Dose-Rate Prostate Brachytherapy.

Robotica·2024

Same author

Curvilinear catheter implantation in HDR prostate brachytherapy: feasibility study.

Medical physics·2024

Same author

A mechanics-based model for a tendon-driven active needle navigating inside a multiple-layer tissue.

Journal of robotic surgery·2024

Same author

Teleoperated and Automated Control of a Robotic Tool for Targeted Prostate Biopsy.

Journal of medical robotics research·2023

Search research articles

Related Experiment Video

Updated: Jul 13, 2026

An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery

An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery

Published on: May 11, 2011

A Model to Predict Deflection of an Active Tendon-Driven Notched Needle Inside Soft Tissue.

Blayton Padasdao¹, Bardia Konh¹

¹Department of Mechanical Engineering, University of Hawaii at Manoa, 2540 Dole St., Holmes Hall 302, Honolulu, HI 96822.

Journal of Engineering and Science in Medical Diagnostics and Therapy

|October 20, 2023

Summary

This study presents a new model for active tendon-driven notched needle steering in soft tissues. The model accurately predicts needle deflection, improving robotic control for minimally invasive surgeries.

More Related Videos

Biomechanical Testing of Murine Tendons

Biomechanical Testing of Murine Tendons

Published on: October 15, 2019

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Published on: March 1, 2024

Related Experiment Videos

Last Updated: Jul 13, 2026

An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery

An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery

Published on: May 11, 2011

Biomechanical Testing of Murine Tendons

Biomechanical Testing of Murine Tendons

Published on: October 15, 2019

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Published on: March 1, 2024

Area of Science:

Robotics
Medical Engineering
Surgical Technology

Background:

Minimally invasive and robotic-assisted surgeries have advanced significantly.
Needle insertion is crucial for procedures like brachytherapy, ablation, drug delivery, and biopsy.
Manual needle steering is challenging due to tissue interaction, movement, and limited control/visualization.

Purpose of the Study:

Introduce a novel deflection model for active tendon-driven notched needle steering in soft tissue.
Enable model-based robotic control for precise needle guidance.
Predict needle deflection within single-layer tissue models.

Main Methods:

Developed a new deflection model for active tendon-driven notched needles.
Conducted five needle insertion experiments using a bevel-tipped active needle into phantom tissues.
Employed real-time robot-assisted ultrasound tracking to monitor needle tip trajectory.

Main Results:

The proposed deflection model was validated through experimental insertion.
Needle deflection was predicted with an average error of 0.58 ± 0.14 mm.
The model demonstrated accuracy for bevel-tipped active needle insertion in single-layer phantom tissue.

Conclusions:

The developed deflection model shows promise for enhancing robotic control in needle insertion procedures.
Accurate prediction of needle deflection is vital for improving surgical precision.
This model contributes to the advancement of robotic-assisted minimally invasive surgery.