Nurgaliev Daniyar, Gatanov Timur, Needleman Daniel J
Department of Physics, Harvard University, Cambridge, Massachusetts 01238, USA.
Methods Cell Biol. 2010;97:475-95. doi: 10.1016/S0091-679X(10)97025-8.
We describe a method for automatically finding the location and conformations of microtubules in tomograms of high-pressure frozen, freeze substituted cells. Our approach uses two steps: a preprocessing step that finds locations in the tomograms that are likely to lie inside microtubules and a tracking step that uses the preprocessed data to identify the trajectories of individual microtubules. We test this method on a reconstruction of a Caenorhabditis elegans mitotic spindle and we compare our results with those obtained by a human expert who manually segmented the same data. At present, the method could be used to assist the analysis of large-scale tomography reconstructions. With further improvements, it may be possible to reliably segment cellular tomograms without human intervention.
我们描述了一种用于在高压冷冻、冷冻置换细胞的断层图像中自动找到微管位置和构象的方法。我们的方法包括两个步骤：一个预处理步骤，用于在断层图像中找到可能位于微管内部的位置；一个跟踪步骤，利用预处理后的数据识别单个微管的轨迹。我们在秀丽隐杆线虫有丝分裂纺锤体的重建图像上测试了该方法，并将我们的结果与由一位人工分割相同数据的专家所获得的结果进行了比较。目前，该方法可用于辅助大规模断层图像重建的分析。随着进一步改进，有可能在无需人工干预的情况下可靠地分割细胞断层图像。
