Actin filament tracking based on particle filters and stretching open active contour models.
Actin filament tracking based on particle filters and stretching open active contour models.
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DOI：
10.1007/978-3-642-04271-3_82
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发表时间：
2009
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我们介绍了一种新的算法肌动蛋白丝跟踪和伸长测量。粒子滤波器（PF）和拉伸开放活动轮廓（SOAC）协同工作，以简化PF在一维状态空间中的建模，同时自然地将细丝体约束集成到尖端估计中。现有的微管（MT）跟踪方法要么跟踪MT尖端或整个机构在高维状态空间。相比之下，我们的算法减少了PF状态空间的一维空间跟踪使用SOAC和概率估计尖端位置沿着的SOAC的曲线长度的细丝机构。在信噪比很低的TIRFM图像序列上的实验结果表明了该方法的准确性和鲁棒性。
We introduce a novel algorithm for actin filament tracking and elongation measurement. Particle Filters (PF) and Stretching Open Active Contours (SOAC) work cooperatively to simplify the modeling of PF in a one-dimensional state space while naturally integrating filament body constraints to tip estimation. Existing microtubule (MT) tracking methods track either MT tips or entire bodies in high-dimensional state spaces. In contrast, our algorithm reduces the PF state spaces to one-dimensional spaces by tracking filament bodies using SOAC and probabilistically estimating tip locations along the curve length of SOACs. Experimental evaluation on TIRFM image sequences with very low SNRs demonstrates the accuracy and robustness of the proposed approach.