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Fully integrated wearable impedance cytometry platform on flexible circuit board with online smartphone readout

Microsystems & Nanoengineering 2018年第1期4卷 234-243页

作者： Abbas Furniturewalla Matthew Chan Jianye Sui karan ahuja Mehdi Javanmard Department of Electrical and Computer Engineering RutgersThe State University of New JerseyNew BrunswickUSA

We present a wearable microfluidic impedance cytometer implemented on a flexible circuit wristband with on-line smartphone readout for portable biomarker counting and *** platform contains a standard polydimethylsiloxane(PDMS)microfluidic channel integrated on a wristband,and the circuitry on the wristband is composed of a custom analog lock-in amplification system,a microcontroller with an 8-bit analog-to-digital converter(ADC),and a Bluetooth module wirelessly paired with a *** lock-in amplification(LIA)system is implemented with a novel architecture which consists of the lock-in amplifier followed by a high-pass filter stage with DC offset subtraction,and a post-subtraction high gain stage enabling detection of particles as small as 2.8μm using the 8-bit *** Android smartphone application was used to initiate the system and for offline data-plotting and peak counting,and supports online data readout,analysis,and file *** data is exportable to researchers and medical professionals for in-depth analysis and remote health *** system,including the microfluidic sensor,microcontroller,and Bluetooth module all fit on the wristband with a footprint of less than 80 *** demonstrate the ability of the system to obtain generalized blood cell counts;however the system can be applied to a wide variety of biomarkers by interchanging the standard microfluidic channel with microfluidic channels designed for biomarker isolation.

关键词： smart impedance wear

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Toward point-of-care assessment of patient response:a portable tool for rapidly assessing cancer drug efficacy using multifrequency impedance cytometry and supervised machine learning

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Microsystems & Nanoengineering 2019年第1期5卷 333-343页

作者： karan ahuja Gulam M.Rather Zhongtian Lin Jianye Sui Pengfei Xie Tuan Le Joseph R.Bertino Mehdi Javanmard Department of Electrical and Computer Engineering Rutgers UniversityNew BrunswickNJUSA Rutgers Cancer Institute of New Jersey Rutgers UniversityNew BrunswickNJUSA

We present a novel method to rapidly assess drug efficacy in targeted cancer therapy,where antineoplastic agents are conjugated to antibodies targeting surface markers on tumor *** have fabricated and characterized a device capable of rapidly assessing tumor cell sensitivity to drugs using multifrequency impedance spectroscopy in combination with supervised machine learning for enhanced classification *** commercially available devices for the automated analysis of cell viability are based on staining,which fundamentally limits the subsequent characterization of these cells as well as downstream molecular *** approach requires as little as 20μL of volume and avoids staining allowing for further downstream molecular *** the best of our knowledge,this manuscript presents the first comprehensive attempt to using high-dimensional data and supervised machine learning,particularly phase change spectra obtained from multi-frequency impedance cytometry as features for the support vector machine classifier,to assess viability of cells without staining or labelling.

关键词： assessing impedance drugs

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