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

Laminar Flow: Problem Solving

Laminar Flow: Problem Solving

Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...

You might also read

Related Articles

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

Sort by

Same author

Dexmedetomidine antagonizes cisplatin-induced ototoxicity in Cochlear hair cells by alleviating endoplasmic reticulum stress via the PERK pathway.

Toxicology and applied pharmacology·2026

Same author

A sustained living coating for infectious keratitis therapy via probiotic consumption and production effects.

Science advances·2026

Same author

Seasonal Divergence between Microbiomes on Microplastics and Natural Particles Increases with Rising Water Temperatures in Urban Rivers.

Environmental science & technology·2026

Same author

A novel pharmacokinetics-pharmacodynamics strategy for effective components exploration combined with metabolomics and proteomics: Application to Xingbei Zhike granule.

Journal of pharmaceutical and biomedical analysis·2026

Same author

Novel_circ_002651 regulates the immune defense of eastern honeybee larvae against fungal invasion through sponging miR-6001-y.

Virulence·2026

Same author

Advances in Strategies for Colloidal Self-Assembly.

Chemical reviews·2026

Search research articles

Related Experiment Video

Updated: May 5, 2026

Preparation of Neuronal Co-cultures with Single Cell Precision

Preparation of Neuronal Co-cultures with Single Cell Precision

Published on: May 20, 2014

CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive

Zhenyu Yang^1,2, Zhongning Jiang³, Haisong Lin^4,5

¹Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China.

Science Advances

|July 30, 2025

Summary

CeyeHao, an AI-driven method, enables advanced microfluidic flow control for intricate microstructure fabrication. This artificial intelligence approach significantly enhances design possibilities and precision in microfluidic applications.

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

Related Experiment Videos

Last Updated: May 5, 2026

Preparation of Neuronal Co-cultures with Single Cell Precision

Preparation of Neuronal Co-cultures with Single Cell Precision

Published on: May 20, 2014

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

Area of Science:

Microfluidics and Nanotechnology
Artificial Intelligence in Engineering
Materials Science and Engineering

Background:

Microfluidic fabrication is crucial for anisotropic microstructures but limited by flow manipulation.
Producing complex microstructures is hindered by current flow control methods.

Purpose of the Study:

To introduce CeyeHao, an AI-driven methodology for advanced microfluidic flow programming.
To enable unprecedented flow manipulations for intricate microstructure design.

Main Methods:

Developed CeyeHao, featuring hierarchically assembled obstacles for enhanced flow control.
Integrated CEyeNet, an AI model, for predicting flow profiles and reducing computation.
Enabled both human-guided and automatic microchannel design modes.

Main Results:

CeyeHao offers over double the flow transformation modes and configurability.
CEyeNet achieved up to 97% accuracy and reduced computation time by 2700-fold.
Demonstrated creation of complex geometries, artistic patterns, and precise stream topology manipulation.

Conclusions:

CeyeHao significantly advances microfluidic design capabilities.
The methodology facilitates complex microstructure fabrication and precise reaction control.
AI-driven flow programming opens new avenues in microfluidic applications.