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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

147
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
147
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

208
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
208
Wave Parameters01:10

Wave Parameters

8.5K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
8.5K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

176
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
176
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

224
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
224
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.9K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.9K

You might also read

Related Articles

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

Sort by
Same author

Successful Preparation of Co-BTE Metal-Organic Frameworks for All-Optical Nonlinear Switching and Photonic Diode Functions.

ACS applied materials & interfaces·2026
Same author

Physics-constrained Mamba-UNet for enhanced-resolution single multimode fiber ghost imaging at low sampling rates.

Optics express·2026
Same author

Physical mechanisms governing generalization and hallucination in deep learning for imaging through scattering media.

Nature communications·2026
Same author

Voltage-Controlled Dual-Band Electroluminescence from In-Doped hBN/GaN Heterojunctions for Switchable UV-Visible Emission.

ACS applied materials & interfaces·2026
Same author

Speckle-driven single-shot orbital angular momentum recognition with ultra-low sampling density.

Nature communications·2025
Same author

Discontinuous orbital angular momentum metasurface holography.

Nature communications·2025
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Nov 2, 2025

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

10.1K

Parameter-free optimization algorithm for iterative wavefront shaping.

Qi Zhao, Chi Man Woo, Huanhao Li

    Optics Letters
    |June 15, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel, parameter-free algorithm for optical focusing through scattering media. It combines genetic and bat algorithms for robust light manipulation in biological tissues without manual tuning.

    More Related Videos

    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

    10.0K
    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    8.2K

    Related Experiment Videos

    Last Updated: Nov 2, 2025

    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

    10.1K
    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

    10.0K
    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    8.2K

    Area of Science:

    • Optics and Photonics
    • Biomedical Optics
    • Computational Imaging

    Background:

    • Optical focusing through scattering media is crucial for applications in biological tissues.
    • Iterative wavefront shaping (WFS) is a promising technique, but requires parameter optimization.
    • Existing heuristic algorithms for WFS need further refinement for robust performance.

    Purpose of the Study:

    • To develop a parameter-free algorithm for optimizing iterative wavefront shaping (WFS).
    • To achieve robust and optimal light focusing through scattering media without manual parameter tuning.
    • To enhance the performance of WFS for optical applications in biological tissues.

    Main Methods:

    • Proposed a novel "smart" parameter-free algorithm.
    • Combined a traditional genetic algorithm with a bat algorithm.
    • Implemented automatic calculation of mutation rate via real-time feedback.

    Main Results:

    • Achieved robust and optimum performance in iterative WFS.
    • Eliminated the need for manual parameter tuning.
    • Demonstrated effective light focusing through scattering media.

    Conclusions:

    • The proposed parameter-free algorithm offers an efficient and automated approach to WFS.
    • This method enhances the applicability of WFS in complex scattering environments like biological tissues.
    • Future optical applications can benefit from this optimized and robust light focusing technique.