AIMC Topic: Microfluidics

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Paper microfluidics with deep learning for portable intelligent nucleic acid amplification tests.

Talanta Mar 20, 2023
During global outbreaks such as COVID-19, regular nucleic acid amplification tests (NAATs) have posed unprecedented burden on hospital resources. Data of traditional NAATs are manually analyzed post assay. Integration of artificial intelligence (AI) ...
COVID-19 SARS-CoV-2 Humans Artificial Intelligence Nucleic Acid Amplification Techniques Microfluidics Sensitivity and Specificity Deep Learning
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The Synergy between Deep Learning and Organs-on-Chips for High-Throughput Drug Screening: A Review.

Biosensors Mar 15, 2023
Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a class of advanced in vitro models. Deep learning, as an emerging topic in machine learning, has the ability to extract a hidden statistical relationship from the in...
Drug Evaluation, Preclinical Humans Microfluidics High-Throughput Screening Assays Deep Learning Microphysiological Systems
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Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning.

Biosensors Feb 24, 2023
Determining nucleic acid concentrations in a sample is an important step prior to proceeding with downstream analysis in molecular diagnostics. Given the need for testing DNA amounts and its purity in many samples, including in samples with very smal...
DNA Microfluidics Neural Networks, Computer Machine Learning Electric Impedance
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Research on cell detection method for microfluidic single cell dispensing.

Mathematical biosciences and engineering : MBE Dec 14, 2022
Single cell dispensing techniques mainly include limiting dilution, fluorescent-activated cell sorting (FACS) and microfluidic approaches. Limiting dilution process is complicated by statistical analysis of clonally derived cell lines. Flow cytometry...
Algorithms Microfluidics Flow Cytometry Neural Networks, Computer Cell Separation
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A machine learning-based framework to design capillary-driven networks.

Lab on a chip Dec 6, 2022
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...
Equipment Design Microfluidics Machine Learning Algorithms
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An automated, fully-integrated nucleic acid analyzer based on microfluidic liquid handling robot technique.

Analytica chimica acta Dec 1, 2022
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...
Robotics Microfluidics Nucleic Acids Microfluidic Analytical Techniques Real-Time Polymerase Chain Reaction Nucleic Acid Amplification Techniques Humans
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Highly Integrated Multi-Material Fibers for Soft Robotics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 22, 2022
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 ...
Elasticity Motion Microfluidics Robotics
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Microfluidics guided by deep learning for cancer immunotherapy screening.

Proceedings of the National Academy of Sciences of the United States of America Nov 7, 2022
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...
Neoplasms Deep Learning Immunotherapy Lymphocytes, Tumor-Infiltrating Humans Early Detection of Cancer Microfluidics Tumor Microenvironment Immunologic Factors
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A robot-assisted acoustofluidic end effector.

Nature communications Oct 26, 2022
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....
Microfluidics Automation Robotics Lab-On-A-Chip Devices Zebrafish Animals
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Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets.

Lab on a chip Oct 25, 2022
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...
Lab-On-A-Chip Devices Microfluidic Analytical Techniques Microfluidics Cell Encapsulation Deep Learning
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