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

Deep cerebellar stimulation restores chronic motor deficits and loss of GABAergic neurons following sensorimotor cortex surgical brain injury in female rats.

Experimental neurology·2026

Same author

Magnetic resonance-guided focused ultrasound for the management of tremor: update on the position statement of the American Society for Stereotactic and Functional Neurosurgery.

Journal of neurosurgery·2026

Same author

Evaluation of the myogenic effects of subthalamic nucleus deep brain stimulation at near therapeutic amplitudes.

Frontiers in neuroscience·2026

Same author

Therapeutic Neuromodulation of the Cerebellum for Upper-Extremity Stroke Recovery.

American journal of physical medicine & rehabilitation·2026

Same author

Real-world experience of ozanimod in adults with multiple sclerosis.

Neurodegenerative disease management·2026

Same author

Five-Year Outcomes from Deep Brain Stimulation of the Subthalamic Nucleus for Parkinson Disease.

JAMA neurology·2025

Search research articles

Related Experiment Video

Updated: May 15, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

Semi-automated method for estimating lesion volumes.

Hyun-Joo Park¹, Andre G Machado, Jessica Cooperrider

¹Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.

Journal of Neuroscience Methods

|December 25, 2012

Summary

Accurate measurement of experimental lesion volume and location is vital for preclinical research. A new semi-automated computational method offers improved precision and efficiency over traditional techniques.

More Related Videos

Generation and 3-Dimensional Quantitation of Arterial Lesions in Mice Using Optical Projection Tomography

Generation and 3-Dimensional Quantitation of Arterial Lesions in Mice Using Optical Projection Tomography

Published on: May 26, 2015

A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains

A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains

Published on: November 8, 2018

Related Experiment Videos

Last Updated: May 15, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

Generation and 3-Dimensional Quantitation of Arterial Lesions in Mice Using Optical Projection Tomography

Generation and 3-Dimensional Quantitation of Arterial Lesions in Mice Using Optical Projection Tomography

Published on: May 26, 2015

A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains

A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains

Published on: November 8, 2018

Area of Science:

Neuroscience
Preclinical Research
Medical Imaging

Background:

Precise measurement of lesion volume and location is critical in experimental models to avoid bias in preclinical studies.
Current methods for lesion assessment are often time-consuming and lack precision, hindering accurate data analysis.

Purpose of the Study:

To introduce a novel, semi-automated computational method for determining lesion volume and location.
To enhance precision and reduce manual labor in lesion assessment for experimental models.

Main Methods:

Development of a user-friendly, semi-automated computational tool for lesion analysis.
Comparison of the novel method against existing techniques for lesion volume and location determination.

Main Results:

The novel semi-automated method demonstrates comparable or superior precision to current techniques.
The new tool offers significant advantages in user interface, reduced labor, and improved data presentation quality.

Conclusions:

The developed semi-automated computational method provides a more precise and efficient approach to lesion assessment in preclinical research.
This tool has the potential to improve the reliability and quality of data in studies utilizing experimental lesion models.