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

Wave Parameters01:10

Wave Parameters

7.9K
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...
7.9K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

89
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...
89
Genetic Screens02:46

Genetic Screens

5.0K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.0K
Propagation of Waves01:07

Propagation of Waves

2.4K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.4K
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

327
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
327
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

626
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
626

You might also read

Related Articles

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

Sort by
Same author

Adaptive nonlinear wavefront shaping in layered TMDs.

Optics letters·2026
Same author

Optimizing fluorescence imaging through scattering media using structured light-assisted wavefront shaping.

iScience·2025
Same author

Mitosis-like dynamic for conservation of OAM.

Scientific reports·2025
Same author

Real-Time Tracking of Nanoscale Morphology and Strain Evolution in Bi<sub>2</sub>WO<sub>6</sub> via Operando Coherent X-Ray Imaging.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Manipulating Ferroelectric Topological Polar Structures with Twisted Light.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Classification of single photons in higher-order spatial modes via convolutional neural networks.

Optics letters·2025
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives.

Tianhong Wang1, Nazifa Rumman2, Pascal Bassène1

  • 1Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, NY 12180, USA.

Journal of Imaging
|February 24, 2023
PubMed
Summary
This summary is machine-generated.

A new scoring-based genetic algorithm (SBGA) optimizes wavefront shaping for multiple goals simultaneously. This method efficiently generates desired light patterns, enhancing applications like biomedical imaging and optical trapping.

Keywords:
NSGA2SBGAimaginglight scatteringmultiple fociwavefront shaping

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
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

Related Experiment Videos

Last Updated: Aug 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
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
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

Area of Science:

  • Optics and Photonics
  • Computational Science
  • Biomedical Engineering

Background:

  • Wavefront shaping is crucial for controlling light propagation in complex media.
  • Optimizing multiple optical objectives simultaneously presents a significant challenge.
  • Existing methods often struggle with multi-objective optimization in optical systems.

Purpose of the Study:

  • To introduce a novel scoring-based genetic algorithm (SBGA) for multi-objective wavefront shaping.
  • To demonstrate the algorithm's capability in generating multiple light foci with desired intensities.
  • To incorporate an objective for precise light confinement, minimizing off-target irradiation.

Main Methods:

  • Development of a scoring-based genetic algorithm (SBGA) tailored for wavefront optimization.
  • Simulation and experimental validation of the SBGA's performance.
  • Implementation of simultaneous multi-focus generation and intensity allocation.
  • Inclusion of a spatial confinement objective to prevent light leakage.

Main Results:

  • The SBGA successfully found feasible solutions for multiple, simultaneous optimization objectives.
  • The algorithm enabled precise control over the generation and intensity distribution of multiple light foci.
  • Demonstrated effective confinement of light to desired targets, reducing unwanted irradiation.
  • Validated ease of implementation and flexibility in controlling optimization search direction.

Conclusions:

  • The scoring-based genetic algorithm (SBGA) offers a robust and flexible approach to multi-objective wavefront shaping.
  • This method significantly advances the ability to control light patterns for complex optical tasks.
  • Potential applications include enhanced biomedical imaging, optogenetics, and optical trapping systems.