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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.6K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
13.6K

You might also read

Related Articles

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

Sort by
Same author

A Multi-Feature Fusion Framework for Automated Classification of Obstructive and Central Hypopneas in Polysomnography.

IEEE transactions on bio-medical engineering·2026
Same author

Adaptive optical beam tracking and alignment system with a wide field-of-view for optical wireless communication.

Optics express·2026
Same author

Lexical feature analysis of Chinese informed consent forms based on the information entropy methods: A paired study of minor and their guardian' version.

PloS one·2025
Same author

Improving Visible Light Positioning Accuracy Using Particle Swarm Optimization (PSO) for Deep Learning Hyperparameter Updating in Received Signal Strength (RSS)-Based Convolutional Neural Network (CNN).

Sensors (Basel, Switzerland)·2025
Same author

Enhanced Respiratory Sinus Arrhythmia Quantification Using Variational Mode Decomposition and Multimodal Coupling Analysis for Emotion Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Compact 4 × 4 multi-mode interferometer-based silicon photonics switch unit with thermal crosstalk mitigation.

Optics express·2025
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Aug 26, 2025

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

8.6K

Optical camera communication (OCC) using a laser-diode coupled optical-diffusing fiber (ODF) and rolling shutter

Deng-Cheng Tsai, Yun-Han Chang, Chi-Wai Chow

    Optics Express
    |October 12, 2022
    PubMed
    Summary
    This summary is machine-generated.

    We developed a novel optical-camera-communication system using a thin optical-diffusing-fiber transmitter. A new neural network algorithm decodes high data rates from this compact transmitter, enabling efficient optical data transmission.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Bringing the Visible Universe into Focus with Robo-AO
    10:35

    Bringing the Visible Universe into Focus with Robo-AO

    Published on: February 12, 2013

    19.6K

    Related Experiment Videos

    Last Updated: Aug 26, 2025

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
    12:22

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

    Published on: August 4, 2018

    8.6K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Bringing the Visible Universe into Focus with Robo-AO
    10:35

    Bringing the Visible Universe into Focus with Robo-AO

    Published on: February 12, 2013

    19.6K

    Area of Science:

    • Optoelectronics
    • Optical Communications
    • Machine Learning

    Background:

    • Optical-camera-communication (OCC) systems offer wireless data transmission.
    • Optical-diffusing-fibers (ODFs) are compact light sources suitable for embedded applications.
    • Decoding high-speed data from thin ODFs using rolling-shutter cameras presents significant challenges.

    Purpose of the Study:

    • To demonstrate a novel OCC system employing a laser-diode coupled ODF transmitter and a rolling-shutter camera receiver.
    • To propose and validate a new algorithm for decoding rolling-shutter patterns from thin ODF transmitters.
    • To analyze the theoretical maximum transmission angle for ODF transmitters.

    Main Methods:

    • Implementation of an optical-camera-communication system with a laser-diode coupled ODF transmitter and a rolling-shutter image sensor receiver.
    • Development and experimental demonstration of a pixel-row-per-bit based neural-network (PPB-NN) algorithm for decoding rolling-shutter patterns.
    • Theoretical analysis of the maximum ODF transmitter angle.

    Main Results:

    • The proposed PPB-NN algorithm successfully decoded rolling-shutter patterns from a thin ODF transmitter.
    • The system achieved a data rate of 3,300 bit/s with a pre-forward error correction (FEC) Bit Error Rate (BER) at a transmission distance of 35 cm.
    • Experimental results for the ODF transmitter angle aligned with theoretical predictions.

    Conclusions:

    • The developed PPB-NN algorithm effectively decodes high data rates from compact ODF transmitters in OCC systems.
    • This approach enables reliable optical wireless communication using unconventional, small-form-factor light sources.
    • The findings validate the feasibility of using ODFs in practical OCC applications and provide theoretical insights into their angular characteristics.