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

Three-Dimensional Microscopy in Microbiology

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

Imaging Biological Samples with Optical Microscopy

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...

You might also read

Related Articles

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

Sort by

Same author

Amphibian-inspired neuromorphic dynamic vision systems based on ferroelectric field-effect transistor.

Nature communications·2026

Same author

Optical metasurfaces for general vision processing on the edge.

Nature·2026

Same author

High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.

Nature communications·2026

Same author

Three-Dimensional Garment Architectures for Tactile Embodied Intelligence.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.

Nature communications·2026

Same author

Author Correction: Wafer-scale high-κ HfO<sub>2</sub> dielectric films with sub-5-Å equivalent oxide thickness for 2D MoS<sub>2</sub> transistors.

Nature communications·2026

Same journal

High-Entropy Alloy Nanomaterials with Well-Designed Nanostructures for Electrocatalytic Applications.

Nano letters·2026

Same journal

Symmetrical Tetravalent Aptamer-Protein Conjugate with Ultrahigh <i>In Vivo</i> Stability for Targeted Cancer Imaging and Therapy.

Nano letters·2026

Same journal

Heterogeneous Reactivity of Palladium Nanoparticles Revealed by Wavelength-Resolved Interferometric Scattering.

Nano letters·2026

Same journal

Protonation-Gated Hydrogen Evolution Enabled by Pyridinic Nitrogen on Graphene Edges.

Nano letters·2026

Same journal

Ligand Engineering of Dithiolate-Protected Au<sub>24</sub>Pt Nanoclusters for Improved Thermocatalytic Activity.

Nano letters·2026

Same journal

Correction to "Switchable Altermagnetism Induced by Polyhedral Rotation Distortion".

Nano letters·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 23, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging.

Chengyi Zhu^1,2, Wanfei Lu^1,2, Zejian Lv^1,2

¹Flexible Photonic Chip International Innovation Center of Guangdong-Hong Kong-Macao Greater Bay Area, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510631, China.

|April 22, 2026

Summary

This summary is machine-generated.

New 3D imaging sensors like metasurfaces and neuromorphic cameras overcome limitations of traditional sensors. These advanced front-end devices, driven by AI algorithms, enhance speed, sensitivity, and resolution for applications in robotics and augmented reality.

Keywords:

3D imaging algorithm-driven optoelectronic devices photonics devices sensors

More Related Videos

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

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

Published on: August 16, 2012

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Related Experiment Videos

Last Updated: Apr 23, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

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

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

Published on: August 16, 2012

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Area of Science:

Optoelectronics
Computer Vision
Artificial Intelligence

Background:

Three-dimensional (3D) imaging is crucial for robotics, augmented reality, and precision medicine.
Traditional sensors (CCD, CMOS) struggle with the hardware demands of AI-driven algorithms.
Emerging applications require enhanced speed, sensitivity, and resolution in 3D data acquisition.

Purpose of the Study:

To systematically review algorithm-driven front-end sensors for 3D imaging.
To highlight the performance advantages of emerging optoelectronic and photonic devices.
To discuss manufacturing and integration challenges and future opportunities.

Main Methods:

Review of conventional and novel front-end 3D imaging sensors.
Analysis of emerging devices: metasurfaces, neuromorphic cameras, reconfigurable optoelectronics.
Discussion of hardware demands imposed by AI algorithms.

Main Results:

Novel sensors (metasurfaces, neuromorphic cameras) offer significant improvements in speed, sensitivity, and resolution.
These devices facilitate enhanced multidimensional data acquisition and depth extraction.
Current limitations in manufacturing and integration are identified.

Conclusions:

Emerging front-end sensors are essential for advancing 3D imaging capabilities.
Hardware innovations are key to meeting the demands of AI-driven 3D applications.
Addressing manufacturing and integration challenges will unlock future opportunities in 3D imaging technology.