针对激光共焦扫描显微镜的往复式逐行扫描成像方式带来的帧图像数据分割难的问题，在分析系统扫描方式、振镜的实际运动方式与理论运动方式差异的基础上，利用相邻两帧图像相似性大的特点，提出了一套完整的高帧速重构算法。该算法通过连续帧特征区域差分的方式实现了一维信号序列的自适应分割，即实现了对一维信号序列进行动态排列及分割成二维阵列图像数据，从而重构出多帧高精度图像。实验表明，该算法的成像误差低于1.6 %，适用于成像速度高达300帧/s的激光共焦扫描显微成像。

In order to increase the imaging speed of the laser confocal scanning microscope, a progressive bidirectional scanning method should be used in order to make full use of the highest frequency that the scanning galvanometer can achieve. Meanwhile, for high-speed scanning image this method will bring frame data segmentation problems. In this paper, on the basis of qualitative analysis of the system scanning mode and taking full account of the differences between the actual and theoretical motion modes of galvanometer, a set of complete high-frame-rate imaging algorithms is proposed by exploiting the similarity of two adjacent frames. The method realizes adaptive segmentation of one-dimensional signal sequence by means of continuous frame feature region difference, that is , the one-dimensional signal sequence is dynamically arranged and divided into two-dimensional array image data, thereby reconstructing multi-frame high-precision images. Experiment shows that the imaging error of this algorithm is less than 1.6% and is suitable for laser confocal scanning microscopy with an imaging speed of up to 300 frame/s.