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

Distance Corrections01:15

Distance Corrections

180
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
180
Differential Leveling01:12

Differential Leveling

536
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
536
Reducing Line Loss01:18

Reducing Line Loss

272
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
272
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

3.9K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
3.9K
Deconvolution01:20

Deconvolution

431
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
431
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

971
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
971

You might also read

Related Articles

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

Sort by
Same author

Cichorium intybus L. polysaccharide improves growth performance and colonic barrier function in weaned piglets via the microbiota-HDCA-TGR5-Akt-NF-κB signaling axis: validation by FMT and in vitro models.

Journal of animal science and biotechnology·2026
Same author

High-Precision LCCD-Based Focus Metrology for I-Line Lithography: Multi-Sample Repeatability and Adaptability Evaluation.

Micromachines·2026
Same author

Curcumin supplementation during high-altitude exposure modulates body composition and its relationship with gut microbiota: a randomized controlled trial.

Nutrition journal·2026
Same author

High-Precision Localization Algorithm for Target Symmetry Center in Image-Based Overlay Metrology.

Micromachines·2026
Same author

Genomic and genetic dissection of drought tolerance in a resilient wheat germplasm JIN50.

Nature genetics·2026
Same author

The effect of dietary nitrate on weight management: a systematic review and meta-analysis.

Frontiers in public health·2026

Related Experiment Video

Updated: Nov 30, 2025

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

19.9K

Deep Learning Correction Algorithm for The Active Optics System.

Wenxiang Li1, Chao Kang1, Hengrui Guan1

  • 1Nanjing Astronomical Instruments Research Center, University of Science and Technology of China, Hefei 230026, China.

Sensors (Basel, Switzerland)
|November 13, 2020
PubMed
Summary

A new deep learning correction algorithm (DLCA) effectively compensates for wavefront aberrations in active optics systems. This advanced method improves correction accuracy and adaptability, outperforming traditional algorithms.

Keywords:
active opticscorrection algorithmsdeep learningheuristic searchwavefront aberrations

More Related Videos

Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity
05:46

Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity

Published on: September 20, 2024

659
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.9K

Related Experiment Videos

Last Updated: Nov 30, 2025

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

19.9K
Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity
05:46

Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity

Published on: September 20, 2024

659
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.9K

Area of Science:

  • Optics and Photonics
  • Artificial Intelligence
  • Control Systems

Background:

  • Wavefront aberration correction is crucial for active optics systems.
  • Traditional mirror deformation algorithms struggle with real-world disturbances.

Purpose of the Study:

  • To introduce a novel deep learning correction algorithm (DLCA) for enhanced wavefront aberration compensation.
  • To improve the accuracy and adaptability of active optics systems.

Main Methods:

  • Developed a DLCA comprising an actor network and a strategy unit.
  • Integrated a heuristic search algorithm within the strategy unit to optimize correction force and reduce search time.
  • Established a mapping for active optics systems with disturbances using the actor network.

Main Results:

  • DLCA demonstrated significant improvement in correction capability and adaptability.
  • Simulations confirmed DLCA's superior performance compared to the least squares algorithm (LSA).
  • The proposed algorithm achieved higher accuracy in wavefront aberration correction.

Conclusions:

  • The DLCA offers a more accurate and adaptable solution for wavefront aberration correction in active optics.
  • This approach provides a new direction for future research in active optics.
  • DLCA shows promise for practical applications in active optical systems.