张玲, 王伟征, 晏伯武. 数字微流控生物芯片并行测试分析和优化[J]. 微电子学与计算机, 2014, 31(10): 103-106,112.
引用本文: 张玲, 王伟征, 晏伯武. 数字微流控生物芯片并行测试分析和优化[J]. 微电子学与计算机, 2014, 31(10): 103-106,112.
ZHANG Ling, WANG Wei-zheng, YAN Bo-wu. Dividing Sub-array Solution for Digital Microfluidic Biochip Parallel Testing[J]. Microelectronics & Computer, 2014, 31(10): 103-106,112.
Citation: ZHANG Ling, WANG Wei-zheng, YAN Bo-wu. Dividing Sub-array Solution for Digital Microfluidic Biochip Parallel Testing[J]. Microelectronics & Computer, 2014, 31(10): 103-106,112.

数字微流控生物芯片并行测试分析和优化

Dividing Sub-array Solution for Digital Microfluidic Biochip Parallel Testing

  • 摘要: 针对数字微流控生物芯片阵列的并行测试过程进行建模,利用测试时间和所需检测测试液滴个数来衡量测试成本,并利用成本函数给出最优的并行测试分块方法.通过matlab分析表明:对任何规模的芯片阵列,其测试成本随着分块数的增大呈先减少后增大的趋势,而成本的最低点就是最优的并行测试分块方法.另外,在并行测试分块数小于测试成本最低点所对应的测试分块数时,测试成本随着测试时间在测试成本中所占的比重的增加而增大,随着测试所需测试的液滴数的增大而减小.而并行测试分块数大于测试成本最低点所对应的测试分块数时,测试成本随着测试时间的比重地增加而减小,随着所需测试的液滴数的增加而增大.这些结论给并行测试的优化提供了重要了依据和指导.

     

    Abstract: To achieve the best sub-array dividing solution for digital microfluidic biochip,The test process was modeled,and test cost that measured by test time and the number of test droplets is proposed in this paper.The test cost is analysed by the tools of MATLAB,and some important discoveries are achieved.The first is that with the increasing of the number of sub-arrays divided,the test cost will rise at first,and then go down,and the number of sub-arrays divided corresponding the lowest cost is selected as the best sub-array dividing solution for parallel testing.In addition,test cost will rise with test time proportion increasing,and decease with the number of test droplets raising while the number of sub-arrays divided less than the best sub-arrays divided numbers.On the other hand,when the number of sum-arrays divided more than the best sub-arrays divided numbers,test cost decrease with test time proportion increasing,and rise with the proportion of the test droplets number raising.

     

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