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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

15.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
15.0K

You might also read

Related Articles

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

Sort by
Same author

Multifunctional electrochemical memory stabilized by phase coexistence.

Science advances·2026
Same author

Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics.

Nature communications·2026
Same author

Correction to "Nanoscale Tracking of the High-Temperature Spin-State Transition in LaCoO<sub>3</sub>".

Nano letters·2026
Same author

Electrothermally Induced Channel Formation in a Spin-Crossover Neuron.

ACS nano·2026
Same author

Nanoscale Tracking of the High-Temperature Spin-State Transition in LaCoO<sub>3</sub>.

Nano letters·2025
Same author

Dynamic Doping of Nickelates with Lithium Reveals a Widely Tunable Insulator-Metal Transition with Charge Filling and Band Renormalization Regimes.

ACS nano·2025

Related Experiment Video

Updated: Sep 25, 2025

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.8K

High accuracy single-layer free-space diffractive neuromorphic classifiers for spatially incoherent light.

François Léonard, Elliot J Fuller, Corinne M Teeter

    Optics Express
    |April 27, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study demonstrates that optimized diffractive systems using incoherent light can achieve high accuracy in neuromorphic object classification. A novel differential detection scheme enhances performance, rivaling electronic classifiers.

    More Related Videos

    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
    08:48

    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

    Published on: September 5, 2012

    12.0K
    Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
    11:24

    Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

    Published on: December 12, 2012

    13.8K

    Related Experiment Videos

    Last Updated: Sep 25, 2025

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.8K
    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
    08:48

    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

    Published on: September 5, 2012

    12.0K
    Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
    11:24

    Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

    Published on: December 12, 2012

    13.8K

    Area of Science:

    • Optics and Photonics
    • Neuromorphic Computing
    • Materials Science

    Background:

    • All-optical diffractive systems offer potential for neuromorphic classification without electronic conversion.
    • Research has focused on coherent light, leaving incoherent light properties underexplored despite application relevance.

    Purpose of the Study:

    • To investigate and optimize free-space all-optical diffractive systems for spatially incoherent light.
    • To achieve high-performance neuromorphic classification using incoherent light.

    Main Methods:

    • Employed a co-design approach to optimize diffractive systems for incoherent light.
    • Utilized a single-layer metamaterial with few diffractive features.
    • Implemented a differential detection scheme to overcome limitations of linear optical detection.

    Main Results:

    • Optimized incoherent systems achieved performance comparable to leading linear electronic classifiers.
    • The differential detection scheme enabled classification accuracy exceeding 94% on MNIST.
    • Achieved greater than 85% accuracy on Fashion-MNIST using a single diffractive layer.

    Conclusions:

    • Incoherent light diffractive systems, when optimized, are viable for high-accuracy neuromorphic classification.
    • Differential detection is crucial for enhancing performance beyond the limits of linear incoherent optical detection.
    • Single-layer metamaterials can be effectively utilized in these advanced optical computing systems.