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

You might also read

Related Articles

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

Sort by
Same author

[Association between genetic polymorphism of tumor necrosis factor and chronic severe hepatitis B in patients].

Zhonghua yi xue za zhi·2007
Same author

In vivo translational inaccuracy in Escherichia coli: missense reporting using extremely low activity mutants of Vibrio harveyi luciferase.

Biochemistry·2007
Same author

[Construction of recombinant adenovirus vector expressing extracellular domain of TbetaR-II-RANTES fusion gene and its anti-tumor effects].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2007
Same author

[Characteristics, evolution and variation of M genes of human avian H5N1 strains in Guangdong].

Bing du xue bao = Chinese journal of virology·2007
Same author

Dynamic changes in microbial activity and community structure during biodegradation of petroleum compounds: a laboratory experiment.

Journal of environmental sciences (China)·2007
Same author

Differences in optical transport properties between human meridian and non-meridian.

The American journal of Chinese medicine·2007

Related Experiment Video

Updated: Jun 10, 2025

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging
07:14

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

Published on: April 11, 2025

432

Learned liquid crystal microlens array for joint optimized deep optical architecture in identifying metameric

Shiqi Li, Hui Li, Tian Li

    Optics Letters
    |October 15, 2024
    PubMed
    Summary

    This study introduces a compact deep optical architecture combining liquid crystal microlens arrays and a spectral reconstruction network. The novel system efficiently detects metameric materials, overcoming limitations of traditional imaging methods.

    More Related Videos

    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
    07:56

    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

    Published on: September 20, 2017

    11.5K
    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
    08:41

    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

    Published on: August 16, 2012

    11.5K

    Related Experiment Videos

    Last Updated: Jun 10, 2025

    Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging
    07:14

    Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

    Published on: April 11, 2025

    432
    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
    07:56

    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

    Published on: September 20, 2017

    11.5K
    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
    08:41

    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

    Published on: August 16, 2012

    11.5K

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Materials Science

    Background:

    • Multispectral imaging is crucial for identifying metameric materials.
    • Traditional systems are bulky, complex, and computationally intensive, hindering practical use.

    Purpose of the Study:

    • To develop a compact and efficient multispectral imaging system for metameric material detection.
    • To integrate liquid crystal microlens array (LC-MLA) properties with a deep learning network.

    Main Methods:

    • Proposed a jointly optimized deep optical architecture combining LC-MLA and a multi-level perceptual spectral reconstruction network (MLP-SRN).
    • Integrated LC-MLA physical properties into MLP-SRN using point spread function (PSF) optical convolution kernels.
    • Decoupled light-field information collected by LC-MLA at varying voltages.

    Main Results:

    • The new system significantly reduces size and computational complexity compared to traditional methods.
    • Demonstrated excellent performance in identifying metameric materials.
    • Successfully integrated optical physics with deep learning for spectral reconstruction.

    Conclusions:

    • The proposed jointly optimized deep optical architecture offers a practical solution for multispectral imaging.
    • This approach enhances the detection of metameric materials while improving system efficiency.
    • Future work could explore further miniaturization and broader applications.