AIMC Topic: Microfluidics
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Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.
Scientific reports
Apr 1, 2015
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative PCR (RT-qPCR) assay method for quantifying gene expression in individual cells. By sequentially printing nanoliter-scale droplets on microchip using a...
Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.
International journal of neural systems
Dec 4, 2014
In this paper, we present general methods that can be used to explore the information processing potential of a medium composed of oscillating (self-exciting) droplets. Networks of Belousov-Zhabotinsky (BZ) droplets seem especially interesting as che...
A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.
Nature communications
May 27, 2025
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays in diagnosis have substantial impact on survival. Herein, blood samples from 586 in-house patients with suspected sepsis are used in conjunction with ...
Integrating Microfluidics and Deep Learning to Investigate Entomopathogenic Nematode Responses to Host Cues.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Entomopathogenic nematodes (EPNs) are effective biocontrol agents, reducing pesticide impact on health and the environment. Understanding their physiology and ethology is crucial for optimizing their application. This study offers innovative insights...
Deep Learning Assisted Microfluidic Impedance Flow Cytometry for Label-free Foodborne Bacteria Analysis and Classification.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
According to the urgent need for rapid detection and identification of foodborne bacteria to prevent public health event, a microfluidic electrical impedance flow cytometry assisted with convolutional neural network (ConvNet) based deep learning algo...
Closed-loop feedback control of microfluidic cell manipulation deep-learning integrated sensor networks.
Lab on a chip
May 18, 2021
Microfluidic technologies have long enabled the manipulation of flow-driven cells en masse under a variety of force fields with the goal of characterizing them or discriminating the pathogenic ones. On the other hand, a microfluidic platform is typic...
User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm.
Lab on a chip
May 4, 2021
Image-activated cell sorting is an essential biomedical research technique for understanding the unique characteristics of single cells. Deep learning algorithms can be used to extract hidden cell features from high-content image information to enabl...
Shape anisotropy-governed locomotion of surface microrollers on vessel-like microtopographies against physiological flows.
Proceedings of the National Academy of Sciences of the United States of America
Mar 30, 2021
Surface microrollers are promising microrobotic systems for controlled navigation in the circulatory system thanks to their fast speeds and decreased flow velocities at the vessel walls. While surface propulsion on the vessel walls helps minimize the...
Design and Preliminary Implementation of an Air Microfluidics Enabled Soft Robotic Knee Brace Towards the Management of Osteoarthritis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
A dynamic and low-profile unloader tibiofemoral knee brace is designed and prototyped by synergizing concepts from the fields of microfluidics and soft robotics. Microfluidics provides strategies for miniaturization and multiplexing while soft roboti...
Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures.
Lab on a chip
Mar 3, 2020
Uncovering the heterogeneity of cellular populations and multicellular constructs is a long-standing goal in fields ranging from antimicrobial resistance to cancer research. Emerging technology platforms such as droplet microfluidics hold the promise...
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