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

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

2.6K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
2.6K

You might also read

Related Articles

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

Sort by
Same author

[Study of electroreflectance spectrum and Franz-Keldysh effect at metal-GaAs interfaces].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

[Study on electro-degradation of new conjugated polymer PFO-BT15 light emitting diodes].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

Comparison of the curative effects of video assisted thoracoscopic anterior correction and small incision, thoracotomic anterior correction for idiopathic thoracic scoliosis.

Chinese medical journal·2008
Same author

Distribution and sources of mercury in soils from former industrialized urban areas of Beijing, China.

Environmental monitoring and assessment·2008
Same author

[Main flavonoids from Sophora flavescenes].

Yao xue xue bao = Acta pharmaceutica Sinica·2008
Same author

External validation and prediction employing the predictive squared correlation coefficient test set activity mean vs training set activity mean.

Journal of chemical information and modeling·2008

Related Experiment Video

Updated: Jun 16, 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

19.4K

Untrained physics-driven aberration retrieval network.

Shuo Li, Bin Wang, Xiaofei Wang

    Optics Letters
    |August 15, 2024
    PubMed
    Summary

    This study introduces an untrained physics-driven aberration retrieval network (uPD-ARNet) for coherent diffraction imaging. The novel method accurately retrieves optic system aberrations using a single intensity image, outperforming conventional techniques.

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Machine Learning Applications

    Background:

    • Aberration correction is crucial in coherent diffraction imaging for accurate optic system analysis.
    • Conventional aberration estimation methods using neural networks are constrained by the need for extensive training datasets.
    • Existing techniques struggle with performance limitations due to dataset dependency.

    Purpose of the Study:

    • To develop a novel, untrained method for aberration retrieval in coherent diffraction imaging.
    • To overcome the limitations of conventional neural network-based approaches that require large training datasets.
    • To introduce a self-supervised, physics-driven network for accurate aberration estimation from minimal data.

    Main Methods:

    • Proposing an untrained physics-driven aberration retrieval network (uPD-ARNet).

    More Related Videos

    Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
    08:27

    Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

    Published on: March 3, 2023

    908
    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

    392

    Related Experiment Videos

    Last Updated: Jun 16, 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

    19.4K
    Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
    08:27

    Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

    Published on: March 3, 2023

    908
    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

    392
  • Utilizing a single intensity image for aberration estimation through self-supervised iteration.
  • Integrating an untrained neural network with a forward physical model of light field diffraction.
  • Employing the physical model to guide the neural network in the inverse process from intensity to aberration.

    • Main Results:

    • The uPD-ARNet successfully retrieves optic system aberrations using only one intensity image.
    • The proposed method demonstrates superior performance compared to conventional aberration retrieval techniques.
    • Experimental validation confirms the effectiveness and accuracy of the untrained, physics-driven approach.

    Conclusions:

    • The uPD-ARNet offers a significant advancement in aberration correction for coherent diffraction imaging.
    • This untrained, self-supervised method eliminates the dependency on large training datasets.
    • The physics-driven approach provides a more robust and accurate solution for aberration retrieval.