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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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Now showing 1 - 10 of 12
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    Sample Preparation for Droplet-Based Microfluidics
    (2014)
    Huang, Juinn-Dar
    ;
    Liu, Chia-Hung
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    Sample preparation plays an essential role in most biochemical reactions. Raw reactants are diluted to solutions with desirable concentration values in this process. In this paper, a survey of existing techniques addressing sample preparation on digital microfluidic biochips (DMFBs) is given. The fundamentals of DMFBs are introduced first. Next, we explain how dilution operations are performed on DMFBs and how the constraint on mixing models comes due to the DMFB architecture limit. Then, we divide the existing techniques into four groups according to the count of target concentration values as well as the number of different reactant types, and briefly introduce selected major research works in each category.
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    Volume-Oriented Sample Preparation for Reactant Minimization on Flow-Based Microfluidic Biochips with Multi-Segment Mixers
    (2015)
    Huang, Chi-Mei
    ;
    Liu, Chia-Hung
    ;
    Huang, Juinn-Dar
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    Sample preparation is one of essential processes in most biochemical reactions. In this process, raw reactants are diluted to achieve given target concentrations. So far, most of existing sample preparation techniques only consider mixing of two source solutions under the (1:1) mixing model. In this paper, we propose the first sample preparation algorithm VOSPA that not only blends several (>= 2) solutions in a dilution operation but also allows various mixing models on flow-based microfluidic biochips with multi-segment mixers. VOSPA is a volume-oriented sample preparation algorithm that enables segment-based intermediate solution reuse for better reactant minimization. Experimental results show that VOSPA can lower the reactant consumption and operation count by 72% and 59% as compared to the baseline bit-scanning method if an 8-segment mixer is used. Moreover, VOSPA outperforms an optimal algorithm, which merely allows the use of (1:1) mixing model; the reactant usage and operation count can be further reduced by 37% and 76%.
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    Reactant Minimization for Sample Preparation on Microfluidic Biochips With Various Mixing Models
    (2015-12-01)
    Liu, Chia-Hung
    ;
    Shen, Kuo-Cheng
    ;
    Huang, Juinn-Dar
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    Sample preparation is one of the essential processes for most on-chip biochemical applications. During this process, raw reactants are diluted to specific concentration values. Current sample preparation algorithms are generally created for digital microfluidic biochips with the (1:1) mixing model. For other biochip architectures supporting multiple mixing models, such as flow-based microfluidic biochips, there is still no dedicated solution yet. Hence, in this paper, we propose the first sample preparation method dedicated to microfluidic biochips with various mixing models, named tree pruning and grafting (TPG) algorithm. It starts with a dilution tree created by regarding the (1: 1) mixing model only, and then applies TPG through a bottom-up dynamic programming strategy to obtain a solution with minimal reactant consumption. Experimental results show that our algorithm can save reactant amount by up to 69% against the well-known bit-scanning method on a biochip with a four-segment mixer. Even compared with the state-of-the-art reactant minimization algorithm, it still achieves a reactant reduction of 37%. Therefore, it is convincing that the TPG algorithm is a promising sample preparation solution for biochip architectures that support various mixing models.
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    Reactant Minimization in Sample Preparation on Digital Microfluidic Biochips
    (2015-09-01)
    Liu, Chia-Hung
    ;
    Chiang, Ting-Wei
    ;
    Huang, Juinn-Dar
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    Sample preparation plays an essential role in most biochemical reactions. Raw reactants are diluted to solutions with desirable concentration values in this process. Since the reactants, like infant\'s blood, DNA evidence collected from crime scenes, or costly reagents, are extremely valuable, their usage should be minimized whenever possible. In this paper, we propose a two-phased reactant minimization algorithm (REMIA), for sample preparation on digital microfluidic biochips. In the former phase, REMIA builds a reactant-minimized interpolated dilution tree with specific leaf nodes for a target concentration. Two approaches are developed for tree construction; one is based on integer linear programming (ILP) and the other is heuristic. The ILP one guarantees to produce an optimal dilution tree with minimal reactant consumption, whereas the heuristic one ensures runtime efficiency. Then, REMIA constructs a forest consisting of exponential dilution trees to produce those aforementioned specific leaf nodes with minimal reactant consumption in the latter phase. Experimental results show that REMIA achieves a reduction of reactant usage by 32%-52% as compared with three existing state-of-the-art sample preparation approaches. Besides, REMIA can be easily extended to solve the sample preparation problem with multiple target concentrations, and the extended version also effectively lowers the reactant consumption further.
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    An Intelligent Digital Microfluidic Processor for Biomedical Detection
    (2015-01-01)
    Lai, Kelvin Yi-Tse
    ;
    Yang, Yu-Tao
    ;
    Lee, Chen-Yi
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    An intelligent digital microfluidic processor for biomedical detection is presented. This potential architecture solves lots of traditional development bottlenecks to implement the easy-to-control, easy-to-monitor, system automation and high accuracy for bioassay detection purposes. The proposed processor integrates the functions of microfluidic actuation, droplet location readback and high sensitivity measurement window to demonstrate a novel prototype for personalized medicine. Furthermore, the droplet location map and reaction behaviors are visible on a 2-dimentional (2D) graphical user-interface due to the micro electrode dot array (MEDA) architecture and capacitive sensing technology, and hence system automation is achievable. Fabricated in standard 0.35 mu m CMOS process, this work integrates 900 microelectrodes with measurement window in 3.2 mm(2), where the high sensitivity capacitive readout circuit occupies only 0.048 mm(2). Measurement results show that microdroplet actuation and 2D location map are activated under 1KHz. In addition, the function of digital signal extraction, processing, as well as statistical analysis can be operated under 1 MHz respectively.
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    微型生物晶片渠道中DNA配對偵測之光學量測方法與實驗
    (2001)
    林振德
    ;
    LIN JENN-DER
    ;
    國立交通大學機械工程學系
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    A DIGITAL MICROFLUIDIC PROCESSOR FOR BIOMEDICAL APPLICATIONS
    (2013)
    Lai, Kelvin Yi-Tse
    ;
    Yang, Yu-Tao
    ;
    Wang, Gary
    ;
    Lu, Yi-Wen
    ;
    Lee, Chen-Yi
    A digital microfluidic processor for biomedical detection is presented. This processor integrates the functions of droplet actuation, droplet position/shape/volume detection and capacitive measurement window to demonstrate a novel prototype for personalize medicine. In this proposed system, the location map of microdroplets and reaction behaviors are visible on 2-dimentional (2D) graphical user-interface due to capacitive sensing technology and hence automatic signal processing is achievable. Fabricated in standard 0.35um 2P4M CMOS process, this test chip integrates 900 microelectrodes with measurement window in 3.2mm(2). Measurement results show that operation of microdroplet moving is under 1KHz and digital signal extractions of position detection and statistical analysis are under 1MHz respectively.
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    Sample Preparation for Many-Reactant Bioassay on DMFBs using Common Dilution Operation Sharing
    (2013)
    Liu, Chia-Hung
    ;
    Chang, Hao-Han
    ;
    Liang, Tung-Che
    ;
    Huang, Juinn-Dar
    ;
    電子工程學系及電子研究所
    Sample preparation is an essential processing step in most biochemical applications. Various reactants are mixed together to produce a solution with the target concentration. Since reactants generally take a notable part of the cost in a bioassay, their usage should be minimized whenever possible. In this paper, we propose an algorithm, CoDOS, to prepare the target solution with many reactants using common dilution operation sharing on digital microfluidic biochips (DMFBs). CoDOS first represents the given target concentration as a recipe matrix, and then identifies rectangles in the matrix, where each rectangle indicates an opportunity of dilution operation sharing for reactant minimization. Experimental results demonstrate that CoDOS can achieve up to 27% of reactant saving as compared with the bit-scanning method in single-target sample preparation. Moreover, even if CoDOS is not developed for multi-target sample preparation, it still outperforms the recent state-of-the-art algorithm, RSMA. Hence, it is convincing that CoDOS is a better alternative for many-reactant sample preparation.
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    Reactant and Waste Minimization in Multitarget Sample Preparation on Digital Microfluidic Biochips
    (2013-10-01)
    Huang, Juinn-Dar
    ;
    Liu, Chia-Hung
    ;
    Lin, Huei-Shan
    ;
    電子工程學系及電子研究所
    ;
    Department of Electronics Engineering and Institute of Electronics
    Sample preparation is one of essential processes in biochemical reactions. Raw reactants are diluted in this process to achieve given target concentrations. A bioassay may require several different target concentrations of a reactant. Both the dilution operation count and the reactant usage can be minimized if multiple target concentrations are considered simultaneously during sample preparation. Hence, in this paper, we propose a multitarget sample preparation algorithm that extensively exploits the ideas of waste recycling and intermediate droplet sharing to reduce both reactant usage and waste amount for digital microfluidic biochips. Experimental results show that our waste recycling algorithm can reduce the waste and operation count by 48% and 37%, respectively, as compared to an existing state-of-the-art multitarget sample preparation method if the number of target concentrations is ten. The reduction can be up to 97% and 73% when the number of target concentrations goes even higher.