Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Sub-Diffraction Nanolithography of Halide Perovskite via Reversible All-Optical Crystallization-Decomposition.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Evaluating Photonic Quantum Memristors in Noisy Environments.

Entropy (Basel, Switzerland)·2026

Same author

Orai1 is required for Ca<sup>2+</sup>-dependent plasma membrane repair and mechanoadaptation.

bioRxiv : the preprint server for biology·2026

Same author

Transparent Metamaterial Films with Multimodal Radiative Cooling for Outdoor Flexible Electronic Devices.

ACS applied materials & interfaces·2026

Same author

Metasurface-Based Wavelength-Multiplexed Diffractive Neural Networks for Multilabel Intelligent Vision.

Nano letters·2026

Same author

Disordered mosaic metasurfaces with scalable functional density.

Nature communications·2026

Same journal

Taphonomic analysis at Liang Bua reveals the behavioral and technological capabilities of <i>Homo floresiensis</i>.

Science advances·2026

Same journal

Targeting granule initiation and amyloplast structure to create giant starch granules in wheat.

Science advances·2026

Same journal

A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration.

Science advances·2026

Same journal

Ancient DNA reveals elite dynastic rule among Iron Age Eurasian Steppe nomads.

Science advances·2026

Same journal

Targeting astrocytic Dp71 attenuates BBB disruption after traumatic brain injury through WTAP-associated m<sup>6</sup>A regulation of MMP2.

Science advances·2026

Same journal

Pancreatic α cells are required for nutrient homeostasis by regulating dynamic β cell networks in islets.

Science advances·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 23, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Memory-less scattering imaging with ultrafast convolutional optical neural networks.

Yuchao Zhang¹, Qiming Zhang¹, Haoyi Yu¹

¹Institute of Photonic Chips, University of Shanghai for Science and Technology, Shanghai 200093, China.

Science Advances

|June 14, 2024

Summary

This summary is machine-generated.

Researchers achieved memory-less image reconstruction through scattering media by developing a novel optical neural network (ONN). This breakthrough enables advanced imaging in challenging environments without relying on the optical memory effect.

More Related Videos

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

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

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

Published on: September 5, 2012

Related Experiment Videos

Last Updated: Jun 23, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

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

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

Published on: September 5, 2012

Area of Science:

Optics and Photonics
Machine Learning
Image Reconstruction

Background:

The optical memory effect is crucial for imaging in complex scattering media like biological tissues.
Image reconstruction in media lacking this effect has been a significant challenge.
Existing methods struggle with strong scattering without relying on the optical memory effect.

Purpose of the Study:

To demonstrate image reconstruction through scattering layers where the optical memory effect is absent.
To develop a novel optical neural network (ONN) for memory-less image reconstruction.
To overcome limitations of current imaging techniques in highly scattering environments.

Main Methods:

Development of a multistage convolutional optical neural network (ONN).
Integration of multiple parallel kernels operating at the speed of light.
Training the Fourier optics-based ONN with strong scattering processes for direct feature extraction.

Main Results:

Achieved memory-less image reconstruction through scattering layers.
Enlarged the field of view by a factor of up to 271.
Demonstrated dynamic reconfigurability for ultrafast, multitask image reconstruction.

Conclusions:

Established an ultrafast and energy-efficient optical machine learning platform.
Enabled image reconstruction in scattering media without the optical memory effect.
Paved the way for advanced optical graphic processing and machine learning applications.