用于细菌建模的主动骨架
Active skeleton for bacteria modeling
摘要：
细菌细胞及其分子组分的时空动态研究需要自动化的图像分析工具来跟踪细胞的形状特性和细胞内分子组分的位置。在细菌老化的研究中，感兴趣的分子组分是在细菌边界附近积累的蛋白质聚集体。这个特定的位置使得聚集体和细胞之间的对应关系非常模糊，因为在相衬延时成像中准确计算细菌边界是一项具有挑战性的任务。本文提出了一种用于细菌建模的活性骨架制剂，它提供了几个优点：易于计算的形状属性（周长，长度，厚度，方向），在嘈杂的图像中提高边界精度，以及允许细胞内分子组分的固有位置的自然细菌为中心的坐标系。从初始骨架估计开始，通过最小化结合细菌形状约束的能量函数来获得细菌的中轴。生物图像的实验结果和性能的比较评估验证了所提出的方法建模雪茄形的细菌，如大肠杆菌。所提出的方法的Image-J插件可以在http://fluobactracker.inrialpes.fr在线找到。
英文摘要：
The investigation of spatio-temporal dynamics of bacterial cells and their molecular components requires automated image analysis tools to track cell shape properties and molecular component locations inside the cells. In the study of bacteria aging, the molecular components of interest are protein aggregates accumulated near bacteria boundaries. This particular location makes very ambiguous the correspondence between aggregates and cells, since computing accurately bacteria boundaries in phase-contrast time-lapse imaging is a challenging task. This paper proposes an active skeleton formulation for bacteria modeling which provides several advantages: an easy computation of shape properties (perimeter, length, thickness, orientation), an improved boundary accuracy in noisy images, and a natural bacteria-centered coordinate system that permits the intrinsic location of molecular components inside the cell. Starting from an initial skeleton estimate, the medial axis of the bacterium is obtained by minimizing an energy function which incorporates bacteria shape constraints. Experimental results on biological images and comparative evaluation of the performances validate the proposed approach for modeling cigar-shaped bacteria like Escherichia coli. The Image-J plugin of the proposed method can be found online at http://fluobactracker.inrialpes.fr.
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