Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information
Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information
复制标题
用于识别细胞结合膜囊泡轨迹和运动信息的图像和数据处理算法
DOI：
10.1016/j.dib.2018.12.076
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发表时间：
2018-12
期刊：
影响因子：
1.2
通讯作者：
Wenzhe Shan
中科院分区：
文献类型：
--
作者：
Ye Xu;Wendiao Zhang;Yong Chen;Wenzhe Shan
这篇 DIB 文章详细介绍了“Dynamic single-vesicle Tracking of cell-bound membrane vesicles on Resting,activated, and cytosculpture-disrupted cells”一文中使用的轨迹识别和数据处理算法（Zhang 等人）[1]。该算法根据对比度差异，从共焦显微镜捕获的一系列未染色的灰度图像中识别细胞膜上的囊泡，然后通过分析囊泡在连续图像中的位置来获得囊泡的轨迹。一旦获得轨迹，其他定量运动信息，例如运动速度、方向和加速度，就可以通过标准动态关系导出。
This DIB article provides details about the trajectory identification and data processing algorithms used in the article “Dynamic single-vesicle tracking of cell-bound membrane vesicles on resting, activated, and cytoskeleton-disrupted cells” (Zhang et al.) [1]. The algorithm identifies vesicles on cell membranes from series of undyed grayscale images captured by the confocal microscope based on contrast differences and then trajectories of vesicles are obtained by analyzing their positions in consecutive images. Once the trajectories have been obtained, other quantitative movement information, such as moving speed, direction and acceleration, are derived by standard dynamic relations.
对静息细胞、激活细胞和细胞骨架破坏细胞上的细胞结合膜囊泡进行动态单囊泡追踪
影响因子：
3.4
作者：
Zhang Wendiao;Xu Ye;Chen Guo;Wang Kun;Shan Wenzhe;Chen Yong
通讯作者：
Chen Yong