AIMC Topic: Microfluidics

Clear Filters Showing 51 to 60 of 116 articles

A machine learning-based framework to design capillary-driven networks.

Lab on a chip
We present a novel approach for the design of capillary-driven microfluidic networks using a machine learning genetic algorithm (ML-GA). This strategy relies on a user-friendly 1D numerical tool specifically developed to generate the necessary data t...

An automated, fully-integrated nucleic acid analyzer based on microfluidic liquid handling robot technique.

Analytica chimica acta
On-site nucleic acid testing (NAT) plays an important role for disease monitoring and pathogen diagnosis. In this work, we developed an automated and fully-integrated nucleic acid analyzer by combining the automated liquid handling robot technique wi...

Highly Integrated Multi-Material Fibers for Soft Robotics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Soft robots are envisioned as the next generation of safe biomedical devices in minimally invasive procedures. Yet, the difficulty of processing soft materials currently limits the size, aspect-ratio, manufacturing throughput, as well as, the design ...

Microfluidics guided by deep learning for cancer immunotherapy screening.

Proceedings of the National Academy of Sciences of the United States of America
Immunocyte infiltration and cytotoxicity play critical roles in both inflammation and immunotherapy. However, current cancer immunotherapy screening methods overlook the capacity of the T cells to penetrate the tumor stroma, thereby significantly lim...

A robot-assisted acoustofluidic end effector.

Nature communications
Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, both do-it-yourself and commercial robotic systems are available; however, for microscale, reagents are expensive and sample preparation is difficult....

Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets.

Lab on a chip
Encapsulation of cells inside microfluidic droplets is central to several applications involving cellular analysis. Although, theoretically the encapsulation statistics are expected to follow a Poisson distribution, experimentally this may not be ach...

Chopstick-Like Structure for the Free Transfer of Microdroplets in Robot Chemistry Laboratory.

Langmuir : the ACS journal of surfaces and colloids
As we all know, chopsticks can hold food, so can we use this method to carry Newtonian fluids such as droplets? This paper studies the process of this transfer and uses this method to realize the manipulation of open microfluidics by robots. To reali...

Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment.

Small (Weinheim an der Bergstrasse, Germany)
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life sciences. AI methods can be significantly advantageous for analyzing the massive datasets provided by biotechnology systems for biological and biomedical appl...

Will microfluidics enable functionally integrated biohybrid robots?

Proceedings of the National Academy of Sciences of the United States of America
The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics to sustain, improve, and scale the architectural complexity of their core ingredient: biological tissues. Advances in microfluidics have already revo...

Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device.

Lab on a chip
A major challenge in the field of microfluidics is to predict and control drop interactions. This work develops an image-based data-driven model to forecast drop dynamics based on experiments performed on a microfluidics device. Reduced-order modelli...