arrow
Return

Pressure-Aware Control Layer Optimization for Flow-Based Microfluidic Biochips

delete2017-12-01
delete16
PRE
AI
Q
Qin Wang
Y
Yue Xu
S
Shiliang Zuo
H
Hailong Yao *
T
Tsung-Yi Ho
李
李冰 (Bing Li)
U
Ulf Schlichtmann
Y
Yici Cai
DOI:10.1109/TBCAS.2017.2766210delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Flow-based microfluidic biochips are attracting increasing attention with successful biomedical applications. One critical issue with flow-based microfluidic biochips is the large number of microvalves that require peripheral control pins. Even using the broadcasting addressing scheme, i.e., one control pin controls multiple microvalves simultaneously, thousands of microvalves would still require hundreds of control prins, which is unrealistic. To address this critical challenge in control scalability, the control-layer multiplexer is introduced to effectively reduce the number of control pins into log scale of the number of microvalves. There are two practical design issues with the control-layer multiplexer: (1) the reliability issue caused by the frequent control-valve switching, and (2) the pressure degradation problem caused by the control-valve switching without pressure refreshing from the pressure source. This paper addresses these two design issues by the proposed Hamming-distance-based switching sequence optimization method and the XOR-based pressure refreshing method. Simulation results demonstrate the effectiveness and efficiency of the proposed methods with an average 77.2% (maximum 89.6%) improvement in total pressure refreshing cost, and an average 88.5% (maximum 90.0%) improvement in pressure deviation.
Keywords:
Flow-based microfluidic biochips
control layer
multiplexer optimization
pressure deviation
Hamming-distance
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Circuits and Systems I-Regular Papers cover
IEEE Transactions on Circuits and Systems I-Regular Papers
IF:
5.2
Papers:
9.8K
Citations:
2.2W

Organization

N
National Tsing Hua University
Scholars:
1.6W
Papers: 1.4W
Citations: 1.7W
T
Technical University of Munich
Scholars:
5.2W
Papers: 3.9W
Citations: 6.2W
Cited Papers

Cited Papers

err
IF0
err
err0
PREAI
err
errShare
errSave
err
IF0
err
err0
PREAI
err
errShare
errSave
Simple downstream process based on detergent treatment improves yield and in vivo transduction efficacy of adeno-associated virus vectors
err2015-01-01
err0
errOAAI
errGabriella Dias Florencio; Guillaume Precigout; Cyriaque Beley; Pierre-Olivier Buclez; Luis Garcia; Rachid Benchaouir
errShare
errSave
errShare
errSave
err2003-01-01
err0
PREAI
errV. S. Kolosnitsyn; E. V. Karaseva; D. Y. Seung; M. D. Cho
errShare
errSave
researcher View more