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

Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

sp3d and sp3d 2 Hybridization
Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)01:20

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)

Two NMR-active nuclei bonded to a central atom can be involved in geminal or two-bond coupling. Geminal coupling is commonly seen between diastereotopic protons in chiral molecules and unsymmetrical alkenes, among others.
The central atom need not be NMR-active because its electrons are affected by the electron polarization of the spin-active atoms. However, spin information is transmitted less effectively than in one-bond coupling, and 2J values are usually weaker than 1J values. The energy of...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Couples: Scalar and Vector Formulation01:21

Couples: Scalar and Vector Formulation

One might wonder how the captain of a large ship can navigate through the ocean with just a turn of the steering wheel. The answer lies in the concept of two parallel forces that are equal in magnitude and opposite sense, creating a couple moment.
A couple moment is a rotational force that tends to rotate the steering wheel. The wheel's rotation can either be in a clockwise or anticlockwise direction. The right-hand rule is a helpful method for determining the direction of a couple moment. To...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

You might also read

Related Articles

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

Sort by
Same author

Multiplexed optoacoustic tracking and magnetic actuation of labeled blood cells in living mice.

Science advances·2026
Same author

Double-helix optical point spread function enables real-time mesoscopic 3D functional microangiography in the living mouse brain and skull.

Nature communications·2026
Same author

Large-scale scattering-augmented optical encryption.

Nature communications·2024
Same author

A broadband hyperspectral image sensor with high spatio-temporal resolution.

Nature·2024
Same author

Ultra-fast light-field microscopy with event detection.

Light, science & applications·2024
Same author

SpectraTrack: megapixel, hundred-fps, and thousand-channel hyperspectral imaging.

Nature communications·2024
Same journal

Multi-dimensional spatial-temporal projection ultrafast compressed imaging.

Light, science & applications·2026
Same journal

Expanded field of view light-field extended-reality displays with metalens array.

Light, science & applications·2026
Same journal

Experimental observation of counter-intuitive features of photonic bunching.

Light, science & applications·2026
Same journal

High-speed and high-sensitivity multi-gas detection based on parallel heterodyne LITES sensor.

Light, science & applications·2026
Same journal

Two-terminal β-Ga<sub>2</sub>O<sub>3</sub> photo-synapse for diversified in-sensor computing via self-trapped holes engineering.

Light, science & applications·2026
Same journal

Drastically magnetically tuned coupling strength and nonlinearity in CrSBr exciton-polaritons.

Light, science & applications·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

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

9.8K

Physical twinning for joint encoding-decoding optimization in computational optics: a review.

Liheng Bian1,2, Xinrui Zhan3, Rong Yan3

  • 1State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing & Zhuhai, China. bian@bit.edu.cn.

Light, Science & Applications
|April 14, 2025
PubMed
Summary
This summary is machine-generated.

Computational optics combines optical encoding with AI-driven decoding for enhanced imaging. This review guides selecting modulation elements for practical digital twin applications in computational optics.

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.3K

Related Experiment Videos

Last Updated: Jun 23, 2026

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

9.8K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.3K

Area of Science:

  • Computational optics
  • Artificial intelligence in optics
  • Deep learning for optical imaging

Background:

  • Traditional optical systems face limitations in sensing dimension, light throughput, and resolution.
  • Computational optics integrates computation to overcome these limitations, enhancing imaging and sensing.
  • Deep learning has significantly advanced computational optics, improving precision and efficiency.

Purpose of the Study:

  • To explore optical modulation elements for digital twin models in joint encoding-decoding optimization.
  • To address the challenge of reverse physical twinning from optimized parameters to practical modulation elements.
  • To provide guidance for selecting appropriate modulation elements in computational optics.

Main Methods:

  • Review of various optical modulation elements across spatial, phase, and spectral dimensions.
  • Analysis of digital twin models for joint encoding-decoding optimization.
  • Examination of the discrepancies between optimized encoding parameters and physical modulation elements.

Main Results:

  • Identification of challenges in reverse physical twinning due to gaps in bit depth, numerical range, and stability.
  • Exploration of diverse optical modulation elements within the digital twin framework.
  • Analysis of trade-offs between precision, speed, and robustness for different modulation elements.

Conclusions:

  • The digital twin model offers enhanced performance for computational optics.
  • Guidance is provided for selecting modulation elements based on specific imaging and sensing task requirements.
  • This review aims to facilitate the development of next-generation computational optics by addressing twinning challenges.