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Aluminum Oxide-Coated Particle Differentiation Employing Supervised Machine Learning and Impedance Cytometry. 利用监督机器学习和阻抗细胞测量法区分氧化铝涂层粒子
Brandon K Ashley, Jianye Sui, Mehdi Javanmard, Umer Hassan

This article uses a supervised machine learning (ML) system for identifying groups of nanoparticles coated with metal oxides of varying thicknesses using a microfluidic impedance cytometer. These particles generate unique impedance signatures when probed with a multifrequency electric field and finds applications in enabling many multiplexed biosensing technologies. However, current experimental and data processing techniques are unable to sensitively differentiate different metal oxide coated particle types. Here, we employ various machine learning models and collect multiple particle metrics measured. In reported experiments, a 75% accuracy was determined to separate aluminum oxide coated (10nm and 30nm), which is significantly greater than observing only univariate data between different microparticle types. This approach will enable ML models to differentiate such particles with greater accuracies.

本文利用微流体阻抗细胞计,采用有监督的机器学习(ML)系统识别涂有不同厚度金属氧化物的纳米粒子群。这些颗粒在多频电场的作用下会产生独特的阻抗特征,可应用于多种多重生物传感技术。然而,目前的实验和数据处理技术无法灵敏地区分不同的金属氧化物涂层颗粒类型。在此,我们采用了各种机器学习模型,并收集了测量到的多种粒子指标。在报告的实验中,我们确定区分氧化铝涂层(10 纳米和 30 纳米)的准确率为 75%,明显高于仅观察不同微粒类型之间的单变量数据。这种方法将使 ML 模型能够以更高的精度区分此类微粒。
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引用次数: 0
The Design and Control of Magnetized Cell-Based Microrobot for Targeting Drug Delivery 基于磁化细胞的药物靶向递送微型机器人的设计与控制
Yanmin Feng, Dixiao Chen, Yuguo Dai, Yunayuan Chen, D. Gong, Lin Feng
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引用次数: 0
Fabrication of Magneto-Rheological Fluid with Double Frameworks 双骨架磁流变流体的制备
Gu-Jong Lee, Jie Huang, X. Pang, Xingchi Chen
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引用次数: 0
Inexhaustible Battery: An Energy Harvester Based Battery for IoT Applications 取之不尽的电池:一种基于物联网应用的能量采集器电池
You Liang Lionel Wong, C. Ong, Y. Gu
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引用次数: 0
Letter from the general chair 主席的信
Shuji Tanaka
Welcome to The 11th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2016) in Matsushima Bay and Sendai MEMS City.
第11届IEEE纳米/微工程和分子系统国际会议(IEEE- nems 2016)在松岛湾和仙台MEMS城举行。
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引用次数: 0
The parametric analysis of the centrifugal insurance mechanism in MEMS safety and arming device MEMS安全防护装置中离心保险机构的参数分析
Fufu Wang, W. Lou, Yongjia Xiong, Fangyi Liu, Dakui Wang, Xin Jin, Mingrong Zhang, Chenggang Xu
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引用次数: 0
The effect of micro-spring stiffness changes on the typical MEMS S&A device 研究了微弹簧刚度变化对典型MEMS S&A器件的影响
Dakui Wang, W. Lou, Yongjia Xiong, Fufu Wang, Fangyi Liu, Xin Jin, Jun Lu
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引用次数: 0
Failure of a MEMS switch after environmental test 环境测试后MEMS开关失效
Xuran Ding, Yue Feng, W. Lou, Yunlong Guo
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引用次数: 1
The MEMS experiment and numerical simulations based on the explosion protection of micro-scale vehicles model 基于微型车辆防爆模型的MEMS实验与数值模拟
Xin Jin, W. Lou, Fufu Wang, Dakui Wang, Mingru Guo, Ximing Dai
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引用次数: 0
Ultrasonic attenuation based high concentration micron particle measurement 基于超声衰减的高浓度微米粒子测量
Ximing Dai, W. Lou, Mingru Guo
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引用次数: 0
期刊
IEEE International Conference on Nano/Micro Engineered and Molecular Systems. IEEE International Conference on Nano/Micro Engineered and Molecular Systems
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