光学学报, 2019, 39 (1): 0118001, 网络出版: 2019-05-10   

自适应激光共焦高速扫描显微成像错位校正算法 下载: 997次

Dislocation Correction Algorithm for Adaptive Laser Confocal High-Speed Scanning Microscopic Imaging
作者单位
上海理工大学光电信息与计算机工程学院, 上海 200093
摘要
往复式逐行扫描是一种提高激光共焦扫描显微成像帧速的有效方式,然而随着帧速的提高,这种扫描方式在图像重构时会带来更严重的图像错位。根据高速振镜运动特性,分析了激光共焦高速扫描显微成像系统逐行扫描下的重构图像错位原理,设计了基于形态学梯度的重构图像错位评价算法,并且结合搜索错位评价最小点的单目标约束粒子群算法实现了重构图像错位校正。经实验验证,该算法适用于成像帧速高达300 frame/s的重构图像错位校正;与未进行错位校正的图像相比,校正后的成像分辨率提高了68.83%,同时该算法能够适用于不同振镜搭配方式和不同扫描帧速的图像重构。
Abstract
The reciprocating progressive scanning is an effective way to increase the imaging frame rate of laser confocal scanning microscopic imaging. However, serious image dislocations during image reconstruction are introduced as the frame rate increases. According to the motion characteristics of a high-speed galvanometer, the dislocation principle of reconstructed images by the laser confocal high-speed scanning microscopic imaging system is analyzed. A dislocation evaluation algorithm of reconstructed images is designed based on the morphological gradients. In addition, the single-objective constrained particle swarm algorithm is used to realize the dislocation correction of reconstructed images by combining with the search for the minimum point of dislocation evaluation. The experimental results show that the proposed algorithm is suitable for the dislocation correction of reconstructed images even when the imaging frame is up to 300 frame/s. Compared with that of the original images without dislocation correction, the imaging resolution after correction increases by 68.83%. Moreover, this algorithm is also suitable for the image reconstruction under different mirror combinations and different scanning frame rates.

秦小云, 苏丹, 贾新月, 周玮, 郭汉明. 自适应激光共焦高速扫描显微成像错位校正算法[J]. 光学学报, 2019, 39(1): 0118001. Xiaoyun Qin, Dan Su, Xinyue Jia, Wei Zhou, Hanming Guo. Dislocation Correction Algorithm for Adaptive Laser Confocal High-Speed Scanning Microscopic Imaging[J]. Acta Optica Sinica, 2019, 39(1): 0118001.

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