AIMC Topic: Lab-On-A-Chip Devices

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Metachronal μ-Cilia for On-Chip Integrated Pumps and Climbing Robots.

ACS applied materials & interfaces Apr 22, 2021
Biological cilia often perform metachronal motion, that is, neighboring cilia move out of phase creating a travelling wave, which enables highly efficient fluid pumping and body locomotion. Current methods for creating metachronal artificial cilia su...
Magnetic Fields Lab-On-A-Chip Devices Cilia Robotics
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Complementary performances of convolutional and capsule neural networks on classifying microfluidic images of dividing yeast cells.

PloS one Mar 17, 2021
Microfluidic-based assays have become effective high-throughput approaches to examining replicative aging of budding yeast cells. Deep learning may offer an efficient way to analyze a large number of images collected from microfluidic experiments. He...
Lab-On-A-Chip Devices Cell Division Deep Learning Molecular Imaging Yeasts Image Processing, Computer-Assisted
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Infrared Metasurface Augmented by Deep Learning for Monitoring Dynamics between All Major Classes of Biomolecules.

Advanced materials (Deerfield Beach, Fla.) Feb 22, 2021
Insights into the fascinating molecular world of biological processes are crucial for understanding diseases, developing diagnostics, and effective therapeutics. These processes are complex as they involve interactions between four major classes of b...
Liposomes Nucleic Acids Infrared Rays Sucrose Nucleotides Spectrophotometry, Infrared Lab-On-A-Chip Devices Deep Learning Proteins
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Magnetically actuated intelligent hydrogel-based child-parent microrobots for targeted drug delivery.

Journal of materials chemistry. B Jan 5, 2021
Small intestine-targeted drug delivery by oral administration has aroused the growing interest of researchers. In this work, the child-parent microrobot (CPM) as a vehicle protects the child microrobots (CMs) under a gastric acid environment and rele...
Particle Size Robotics Magnetite Nanoparticles Drug Delivery Systems Child Surface Properties Lab-On-A-Chip Devices Doxorubicin Hydrogels Magnetic Phenomena Humans Cells, Cultured
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Machine learning enables design automation of microfluidic flow-focusing droplet generation.

Nature communications Jan 4, 2021
Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to existing screening platforms across life science applications, such as enzyme discovery and early cancer detection. However, the lack of a predictive un...
Neural Networks, Computer Databases as Topic Automation Equipment Design Machine Learning Lab-On-A-Chip Devices Microfluidics Algorithms Rheology
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Ear-Bot: Locust Ear-on-a-Chip Bio-Hybrid Platform.

Sensors (Basel, Switzerland) Jan 1, 2021
During hundreds of millions of years of evolution, insects have evolved some of the most efficient and robust sensing organs, often far more sensitive than their man-made equivalents. In this study, we demonstrate a hybrid bio-technological approach,...
Lab-On-A-Chip Devices Ear, Middle Grasshoppers Animals Robotics Sound
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A Machine Learning-Assisted Nanoparticle-Printed Biochip for Real-Time Single Cancer Cell Analysis.

Advanced biosystems Oct 7, 2020
Cancers are a complex conglomerate of heterogeneous cell populations with varying genotypes and phenotypes. The intercellular heterogeneity within the same tumor and intratumor heterogeneity within various tumors are the leading causes of resistance ...
Lab-On-A-Chip Devices Cell Line, Tumor Bioprinting Single-Cell Analysis Nanoparticles Humans Machine Learning
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Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system.

Biomedical microdevices Sep 2, 2020
Microfluidics has wide applications in different technologies such as biomedical engineering, chemistry engineering, and medicine. Generating droplets with desired size for special applications needs costly and time-consuming iterations due to the no...
Neural Networks, Computer Fuzzy Logic Lab-On-A-Chip Devices Microfluidic Analytical Techniques Particle Size
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Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Journal of neurogenetics Aug 19, 2020
Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swimming is exercise for and here we suggest that inactive bouts are a recovery state akin to fatigue. It is known that cGMP-dependent kinase (PKG) acti...
Caenorhabditis elegans Proteins Cyclic GMP-Dependent Protein Kinases Genetics, Behavioral Escherichia coli Movement Caenorhabditis elegans Physical Exertion Artificial Intelligence Pharynx Biomechanical Phenomena Animals Aging Swimming Sleep Lab-On-A-Chip Devices Rest Fatigue
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography.

Journal of visualized experiments : JoVE Aug 16, 2020
Brain metastases are the most lethal cancer lesions; 10-30% of all cancers metastasize to the brain, with a median survival of only ~5-20 months, depending on the cancer type. To reduce the brain metastatic tumor burden, gaps in basic and translation...
Mice Tumor Microenvironment Humans Tomography Lab-On-A-Chip Devices Brain Neoplasms Machine Learning Animals
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