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

Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

1.1K
Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Nanomaterial-Decorated Biomass-Derived Carbon for Electrochemical Sensing: Design Principles, Interfacial Mechanisms, and Practical Applications.

Chemical record (New York, N.Y.)·2026
Same author

Association between phenotypes and genotypes of antimicrobial resistance in <i>E. coli</i> and <i>Salmonella</i> isolates from retail chicken meat and live bird market sewage in Bangladesh.

Microbiology spectrum·2026
Same author

Adiponectin improves the aortic dissection by inhibiting inflammatory cell infiltration and macrophage pyroptosis.

Clinical and experimental hypertension (New York, N.Y. : 1993)·2026
Same author

<i>Luteococcus struthionis</i> sp. nov. and <i>Lacrimispora struthionigena</i> sp. nov. isolated from ostrich faeces.

International journal of systematic and evolutionary microbiology·2026
Same author

Recent Anthrax Outbreak and Zoonotic Transmission in Northern Bangladesh.

Veterinary medicine and science·2026
Same author

Continuous cropping of lavender (<i>Lavandula angustifolia Mill.</i>) enhances essential oil yield without compromising quality.

Frontiers in plant science·2026
Same journal

An Edge On-Chip-Learning Convolutional Spiking Neural Network Processor Based on Error Backpropagation via Spatiotemporal Nodes of Spike Events.

IEEE transactions on biomedical circuits and systems·2026
Same journal

Multiplexed Crossbar GFET Array With BioADC for Multi-Modal Aptamer-Based Sensing.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A VPG-Based Adaptive Windowing PPG Sensor IC for Low-Power Wearable Monitoring.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A Chopper Amplifier with Feedforward SAR ADC Assisted DC Servo Loop Achieving ±1V DC Offset Cancellation in 2.1s for Neural Signal Recordings.

IEEE transactions on biomedical circuits and systems·2026
Same journal

ANP-R: A 22nm 0.88pJ/SOP Asynchronous SNN-based Processor with Coarse-Grained Reconfigurable Architecture Enabling Multisensory On-chip Incremental Learning for Edge AI.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A High-Efficiency Neural Processing SoC for Adaptive Closed-Loop Neuromodulation.

IEEE transactions on biomedical circuits and systems·2026
See all related articles

Related Experiment Video

Updated: Mar 19, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.7K

Automated Adaptive Brightness in Wireless Capsule Endoscopy Using Image Segmentation and Sigmoid Function.

Ravi Shrestha, Shahed K Mohammed, Md Mehedi Hasan

    IEEE Transactions on Biomedical Circuits and Systems
    |June 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an automated brightness control system for wireless capsule endoscopy (WCE) to improve image quality. The adaptive algorithm optimizes illumination in real-time, reducing under- and over-illumination for better gastrointestinal diagnostics.

    More Related Videos

    Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
    07:22

    Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

    Published on: March 11, 2016

    11.9K
    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    3.7K

    Related Experiment Videos

    Last Updated: Mar 19, 2026

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.7K
    Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
    07:22

    Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

    Published on: March 11, 2016

    11.9K
    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    3.7K

    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Gastroenterology

    Background:

    • Wireless capsule endoscopy (WCE) is crucial for diagnosing gastrointestinal diseases.
    • Image quality in WCE is heavily influenced by illumination, with under- and over-illumination being common issues.
    • Existing WCE systems often struggle with consistent brightness control, impacting diagnostic accuracy and power efficiency.

    Purpose of the Study:

    • To develop a low-power, efficient illumination system for WCE using an automated brightness algorithm.
    • To enhance the quality of captured endoscopic images by real-time brightness adaptation.
    • To reduce power consumption in WCE devices.

    Main Methods:

    • An adaptive algorithm was developed to control LED brightness in real-time during image capture.
    • Images were segmented into four regions to calculate brightness levels.
    • An adaptive sigmoid function determined optimal brightness, adjusting the pulse duty cycle for subsequent images.
    • The system was implemented in a capsule prototype and tested with commercial WCE devices.

    Main Results:

    • The proposed algorithm effectively controlled brightness based on environmental conditions.
    • Good quality images were consistently captured, mitigating under- and over-illumination.
    • The system achieved an average brightness level of 40%, leading to significant power savings.

    Conclusions:

    • The automated brightness control system significantly improves WCE image quality.
    • The adaptive algorithm offers a power-efficient solution for WCE illumination.
    • This technology has the potential to enhance diagnostic accuracy in gastrointestinal examinations.