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

Propagation Speed of Electromagnetic Waves

Propagation Speed of Electromagnetic Waves

Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:

Conservative Site-specific Recombination and Phase Variation

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...

Frequency-dependent Selection

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.

Propagation of Uncertainty from Random Error

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...

You might also read

Related Articles

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

Sort by

Same author

Spatio-spectral light-by-light moulding in multimode fibre.

Nature communications·2026

Same author

Nyquist-Hilbert-nonlinear Schrödinger solitons: A continuous family of fractional nonlinear waves.

Science advances·2026

Same author

Chip-fiber-chip quantum teleportation in a star-topology quantum network.

Light, science & applications·2025

Same author

Deep learning prediction of noise-driven nonlinear instabilities in fibre optics.

Nature communications·2025

Same author

In-situ training in programmable photonic frequency circuits.

Nanophotonics (Berlin, Germany)·2025

Same author

Nonlinear wave propagation governed by a fractional derivative.

Nature communications·2025

Same journal

Recent Progress in on-Demand Transfer-Enabled Integration of Wavelength-Scale Light Sources.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable skyrmion bag textures in surface phonon polariton lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable Skyrmion, Meron, and Skyrmion Bag Textures in Surface Phonon Polariton Lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

Deep-Subwavelength Slot-Enhanced Broadband Dynamic Camouflage Metasurface Across the S, C, X, and Ku Bands.

Nanophotonics (Berlin, Germany)·2026

Same journal

Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials.

Nanophotonics (Berlin, Germany)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 11, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Modulation instability control via evolutionarily optimized optical seeding.

Lynn Sader¹, Yassin Boussafa¹, Van Thuy Hoang¹

¹XLIM Research Institute, CNRS UMR 7252, University of Limoges, 87060 Limoges, France.

Nanophotonics (Berlin, Germany)

|August 13, 2025

Summary

This summary is machine-generated.

Researchers control noise-driven modulation instability in optical fibers using coherent seeding and machine learning. This approach tailors spectral broadening for advanced optical information processing and next-generation photonic technologies.

Keywords:

incoherent spectral broadening machine learning modulation instability noise-driven processes nonlinear fiber optics spectral correlation

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Related Experiment Videos

Last Updated: Sep 11, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Area of Science:

Nonlinear Optics
Quantum Optics
Optical Communications

Background:

Nonlinear pulse propagation in optical fibers is crucial for spectroscopy and communications.
Modulation instability (MI) in fibers is noise-driven, causing unpredictable dynamics and control challenges.

Purpose of the Study:

Investigate controlling noise-driven MI in nonlinear fiber propagation.
Explore joint control of spectral broadening using coherent optical seeding and machine learning.

Main Methods:

Introduced weak coherent seeds into laser pulses.
Utilized evolutionary algorithms to adjust seed parameters for tailoring MI.
Employed time-stretch dispersive Fourier transform for real-time spectral characterization.
Applied genetic algorithms for optimizing spectral intensity correlations.

Main Results:

Demonstrated tailoring of noise-driven MI properties via seed parameter adjustments.
Achieved optimized control of spectral intensity correlations.
Showcased shaping of specific spectral correlation features on demand.
Validated the effectiveness of combining seeding with optimization techniques.

Conclusions:

Coherent optical seeding combined with optimization effectively controls incoherent spectral fluctuations.
This approach offers robust and flexible management strategies for nonlinear fiber optics.
Paves the way for next-generation nonlinear photonic technologies and advanced optical information processing.