数字PCR仪成像系统的自动对焦算法研究

数字PCR仪是一种用于放大扩增特定的DNA片段的数字化仪器，针对电子摄像器件的自动对焦问题，研究分析了已有的SOM神经网络自动对焦方案，提出改进方案-BP神经网络自动对焦。它直接将SOM的输入和实际的焦点位置作为BP神经网络的输入和输出，省去原SOM方案中，先分类再与焦点矩阵对应的过程，节省了时间。实验结果表明BP神经网络自动对焦，具有较好的精度，且对焦速度较快。相较于传统对焦方案，设计的自动对焦方案成功实现了对于生物芯片的更快速的对焦。

Research on autofocus algorithm of digital PCR system

The digital PCR instrument is a digital instrument for amplifying and amplifying specific DNA fragments. The problem studied in this paper is the autofocus problem of its electronic imaging device. Based on the analysis of existing SOM neural network autofocus scheme, we propose an improved scheme-BP neural network for autofocus. It directly takes the SOM input and the actual focus position as the input and output of the BP neural network, which eliminates the process of prior classification and then corresponding to the focus matrix in the original SOM scheme, saving time. The experimental results show that the traditional autofocus method has good focusing effect, but the speed is slow, and the universality of the BP neural network autofocus scheme is not good enough, but within a good accuracy range, the speed is faster. Compared to traditional focusing methods, the autofocus scheme designed in this paper successfully achieves faster focusing speed for biochips.