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

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,...

You might also read

Related Articles

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

Sort by
Same author

A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis.

PloS one·2026
Same author

A low-profile compact dual-sense quad-port circularly polarized MIMO antenna for 5G mmWave networks.

Scientific reports·2026
Same author

Evaluating the Significance of Implementing Experience-Based Clinical and Public Health Training in Medical Education Systems to Overcome the Curricular-Practice Gap in Tertiary Healthcare Settings.

Cureus·2025
Same author

The characteristic of antibiotic drug resistance of Salmonella Typhi isolated from tertiary care hospital in Faisalabad.

Pakistan journal of pharmaceutical sciences·2025
Same author

Broadband OAM vortex beams generating through transmitarray for millimeter wave applications.

Optics express·2025
Same author

A Flexible and Optical Transparent Metasurface Absorber with Broadband RCS Reduction Characteristics.

Nanomaterials (Basel, Switzerland)·2024

Related Experiment Video

Updated: May 10, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

Robust high-capacity free-space optical communication using OAM-based structured light and intelligent adaptive

Muhammad Ahmad1,2,3, Babar Hayat4, Ming Fang1,2,3

  • 1The Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, 230601, China.

Scientific Reports
|February 26, 2026
PubMed
Summary

This study introduces a hybrid free-space optical (FSO) communication system using structured light and AI to overcome atmospheric turbulence (AT). The novel framework significantly reduces bit error rates and improves signal stability for robust FSO links.

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

10.4K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

10.4K

Related Experiment Videos

Last Updated: May 10, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K
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

10.4K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

10.4K

Area of Science:

  • Optical Communications
  • Signal Processing
  • Atmospheric Physics

Background:

  • Free-space optical (FSO) communication offers high-speed, secure data transmission but is limited by atmospheric turbulence (AT).
  • Existing methods struggle with real-time adaptive compensation for AT-induced signal degradation.
  • Challenges include beam distortion, intensity fading, and intermodal interference in long-distance FSO links.

Purpose of the Study:

  • To develop a novel hybrid FSO framework for enhanced resilience against atmospheric turbulence.
  • To integrate structured light beams, adaptive optics, and intelligent signal processing for real-time compensation.
  • To improve the performance and scalability of FSO communication systems under adverse atmospheric conditions.

Main Methods:

  • Proposed a hybrid FSO framework incorporating Bessel, Airy, and orbital angular momentum (OAM) beams.
  • Implemented adaptive optics (AO) and intelligent signal processing, including a Dynamic Neural Fuzzy Inference System (DNFIS) for equalization.
  • Utilized a Deep Convolutional Neural Network with Time-domain Correlation Sequence Generation (DCNN-TCSGm) for real-time turbulence prediction and compensation.
  • Modeled OAM multiplexing with Wavelength Division Multiplexing (WDM) in the mid-infrared spectrum using optical metasurfaces.

Main Results:

  • Achieved a 55% reduction in Bit Error Rate (BER) compared to conventional systems.
  • Demonstrated a 22% improvement in signal voltage stability.
  • Obtained up to 10 dB power gain over traditional Mode Division Multiplexing (MDM)-FSO and Decision Feedback Equalizer (DFE) systems.
  • Validated robustness and scalability under challenging atmospheric conditions.

Conclusions:

  • The proposed hybrid FSO framework effectively mitigates atmospheric turbulence effects.
  • The integration of structured light, AO, and AI-driven signal processing significantly enhances FSO communication performance.
  • The framework offers a scalable and robust solution for future high-performance FSO networks.