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

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

Exon junction complex and nuclear pore complex components preferentially govern the nuclear export of spliced lncRNAs.

Cell death discovery·2026

Same author

Pyridine-Bridged Axial Coordination Creates Electron-Deficient Co-N<sub>5</sub> Porphyrin Sites for Selective Photoelectrochemical CO<sub>2</sub> Reduction on Si Nanowires.

The journal of physical chemistry letters·2026

Same author

Molecular Engineering Mediated Interfacial Assembly as an Artificial Extracellular Matrix Remolds Bacteria With Enhanced Abiotic Resilience.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Dural sinus thrombus volume as an independent risk factor for cortical venous involvement in patients with cerebral venous sinus thrombosis.

Neuroradiology·2026

Same author

Clinical efficacy and safety analysis of the "Pre-set screw path technique" in cervical posterior single door laminoplasty with supportive titanium plate fixation: a prospective randomized controlled study.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2026

Same author

Enhancing the Electrical Performance of Formamidinium Perovskites through WS<sub>2</sub> Nanotube Incorporation.

ACS omega·2026

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

Scalable Fluidic Injector Arrays for Viral Targeting of Intact 3-D Brain Circuits

Scalable Fluidic Injector Arrays for Viral Targeting of Intact 3-D Brain Circuits

Published on: January 21, 2010

Very-large-scale mimetic optogenetic synapses for physical reservoir computing.

Xinyi Han¹, Zhiying Qi¹, Vojtech Kundrat^2,3

¹Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement, Institute of Advanced Structure Technology, Analysis & Testing Center, School of Physics, Beijing Institute of Technology, Beijing, China.

Nature Communications

|January 10, 2026

Summary

This summary is machine-generated.

This study introduces a novel physical reservoir using tungsten disulfide nanotubes to overcome deep learning

More Related Videos

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex

Published on: February 25, 2022

Related Experiment Videos

Last Updated: Jun 27, 2026

Scalable Fluidic Injector Arrays for Viral Targeting of Intact 3-D Brain Circuits

Scalable Fluidic Injector Arrays for Viral Targeting of Intact 3-D Brain Circuits

Published on: January 21, 2010

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex

Published on: February 25, 2022

Area of Science:

Materials Science
Artificial Intelligence
Neuroscience

Background:

Deep learning scaling laws raise concerns about energy efficiency and sustainability.
Existing artificial intelligence (AI) models require significant computational resources.
Biological systems offer inspiration for efficient computation.

Purpose of the Study:

To develop a sustainable and efficient computational approach for AI.
To create a physical reservoir computing system inspired by biological brains.
To address the limitations of current deep learning models.

Main Methods:

Fabrication of a self-organized, submillimeter-long tungsten disulfide nanotube cluster as a 3D physical reservoir.
Characterization of the reservoir's synaptic density (10^8 interfaces/mm^3), comparable to a fruit fly's brain.
Implementation of photosensitive mimetic synaptic connections emulating optogenetic modulation.

Main Results:

The physical reservoir successfully performed diverse tasks, including monomodal and multimodal challenges (e.g., speech-to-image, medical image generation).
The reservoir's architecture mimics the synaptic quantity and density of biological neural networks.
Demonstrated emulation of optogenetic modulation in biological systems via mimetic synaptic connections.

Conclusions:

This research presents a novel physical reservoir computing system for energy-efficient AI.
The developed system integrates principles of scaling laws, multimodal processing, and bio-inspired mechanisms.
Paves the way for advanced computing architectures for next-generation AI.