AIMC Topic: Microfluidics

Clear Filters Showing 51 to 60 of 99 articles

Microfluidic manipulation by spiral hollow-fibre actuators.

Nature communications Mar 14, 2022
A microfluidic manipulation system that can sense a liquid and control its flow is highly desirable. However, conventional sensors and motors have difficulty fitting the limited space in microfluidic devices; moreover, fast sensing and actuation are ...
Microfluidics Lab-On-A-Chip Devices Temperature Robotics
View on PubMed DOI

Rapid Temperature-Dependent Rheological Measurements of Non-Newtonian Solutions Using a Machine-Learning Aided Microfluidic Rheometer.

Analytical chemistry Feb 15, 2022
Biofluids such as synovial fluid, blood plasma, and saliva contain several proteins which impart non-Newtonian properties to the biofluids. The concentration of such protein macromolecules in biofluids is regarded as an important biomarker for the di...
Rheology Viscosity Solutions Temperature Machine Learning Microfluidics
View on PubMed DOI

Deep learning-based optimization of a microfluidic membraneless fuel cell for maximum power density via data-driven three-dimensional multiphysics simulation.

Bioresource technology Feb 8, 2022
A deep learning-based method for optimizing a membraneless microfluidic fuel cell (MMFC)performance by combining the artificial neural network (ANN) and genetic algorithm (GA) was for the first time introduced. A three-dimensional multiphysics model ...
Deep Learning Microfluidics Computer Simulation Temperature Neural Networks, Computer
View on PubMed DOI

Electro-Optical Classification of Pollen Grains via Microfluidics and Machine Learning.

IEEE transactions on bio-medical engineering Jan 20, 2022
OBJECTIVE: In aerobiological monitoring and agriculture there is a pressing need for accurate, label-free and automated analysis of pollen grains, in order to reduce the cost, workload and possible errors associated to traditional approaches.
Microfluidics Pollen Machine Learning
View on PubMed DOI

Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis.

Nanoscale Dec 2, 2021
Artificial intelligence (AI) is an emerging technology with great potential, and its robust calculation and analysis capabilities are unmatched by traditional calculation tools. With the promotion of deep learning and open-source platforms, the thres...
Machine Learning Microfluidics Artificial Intelligence Nanomedicine
View on PubMed DOI

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin.

PLoS computational biology Nov 29, 2021
Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle red blood cells (sRBCs) with altered shape and biomechanics. sRBCs show heightened adhesive interactions with inflamed endothelium, triggering painfu...
Hemoglobin, Sickle Laminin Protein Multimerization Erythrocytes, Abnormal Erythrocyte Deformability Biophysical Phenomena Lab-On-A-Chip Devices Image Interpretation, Computer-Assisted Computational Biology Microfluidics Anemia, Sickle Cell High-Throughput Screening Assays Humans Deep Learning Neural Networks, Computer Diagnosis, Computer-Assisted In Vitro Techniques
View on PubMed DOI

Advances in bacterial concentration methods and their integration in portable detection platforms: A review.

Analytica chimica acta Sep 18, 2021
Early detection and identification of microbial contaminants is crucial in many sectors, including clinical diagnostics, food quality control and environmental monitoring. Biosensors have recently gained attention among other bacterial detection tech...
Centrifugation Bacteria Biosensing Techniques Microfluidics Attention
View on PubMed DOI

Deep Learning-Enabled Label-Free On-Chip Detection and Selective Extraction of Cell Aggregate-Laden Hydrogel Microcapsules.

Small (Weinheim an der Bergstrasse, Germany) Apr 25, 2021
Microfluidic encapsulation of cells/tissues in hydrogel microcapsules has attracted tremendous attention in the burgeoning field of cell-based medicine. However, when encapsulating rare cells and tissues (e.g., pancreatic islets and ovarian follicles...
Microfluidics Hydrogels Capsules Cells, Cultured Deep Learning
View on PubMed DOI

Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning.

Lab on a chip Feb 15, 2021
We present sensing time-lapse morphogenesis of living bone cells under micro-fluidic shear stress (FSS) by digital holographic (DH) microscopy. To remove the effect of aberrations on quantitative measurements, we propose a numerical and automatic met...
Microfluidics Artificial Intelligence Microscopy Morphogenesis Deep Learning
View on PubMed DOI

A microfluidic robot for rare cell sorting based on machine vision identification and multi-step sorting strategy.

Talanta Jan 23, 2021
The identification, sorting and analysis of rare target single cells in human blood has always been a clinically meaningful medical challenge. Here, we developed a microfluidic robot platform for sorting specific rare cells from complex clinical bloo...
Cell Separation Humans Microfluidic Analytical Techniques Robotics Microfluidics Optical Imaging
View on PubMed DOI
Popular Topics
Recent Journals