数字微流控生物芯片测试诊断过程分析和优化

Analysis and optimization of test and diagnosis process for digital microfluidic biochip

针对数字微流控生物芯片的测试和诊断过程进行建模和分析,并根据并行测试的分块数和单元出错概率为相应的测试和诊断成本建立函数。通过Matlab对测试诊断成本函数的分析表明:随着并行测试分块数的增大,测试诊断成本的变化趋势不明显,也就是说,并行测试的分块数对测试诊断成本的影响不大;而随着单元出错概率p的增加,测试成本呈明显的增加趋势,且增加的幅度较大。另外,诊断过程中,根据单元出错概率对出错的子阵列再进行诊断,诊断过程必须持续若干次,直到所有故障定位后才能结束。在这些诊断中,针对最后一次定位的诊断成本是最大的,而且与其他次的诊断过程的成本相差几十个数量级,决定了总成本的大小。这些结论为数字微流控生物芯片的测试和诊断过程优化提供重要的理论依据,并为测试诊断方法的设计提供指导。

To achieve the test and diagnosis solution for digital microfluidic biochip, the test and di agnosis process is modeled, and the corresponding diagnosis test cost is computed. The test and diagno- sis cost is analyzed by the tools of Matlab, and some important observations are obtained. Firstly, with the increase of the number of sub-arrays divided for parallel testing, the test and diagnosis cost nearly does not change at all. In other words, the number of sub-arrays has less impact on the test and diagno- sis cost. Secondly, as the faulty probability of the single biochip cell increases, the test and diagnosis cost increases dramatically. In addition, in the process of the diagnosis, the faulty domain must be diag- nosed according to the corresponding faulty probability until all the faults are located. The test and diag- nosis cost of the last faulty location is the maximum, dominating the total test and diagnosis cost of the biochip. These observations provide the theory evidence and guidance for digital microfuidic biochip test and diagnosis.