Automated tracing of microtubules in electron tomograms of plastic embedded samples of Caenorhabditis elegans embryos

被引:83
作者
Weber, Britta [1 ]
Greenan, Garrett [2 ]
Prohaska, Steffen [1 ]
Baum, Daniel [1 ]
Hege, Hans-Christian [1 ]
Mueller-Reichert, Thomas [3 ]
Hyman, Anthony A. [2 ]
Verbavatz, Jean-Marc [2 ]
机构
[1] Zuse Inst Berlin, Dept Visualizat & Data Anal, D-14195 Berlin, Germany
[2] Max Planck Inst Mol Cell Biol & Genet, D-01307 Dresden, Germany
[3] Tech Univ Dresden, Med Theoret Ctr, Med Fac Carl Gustav Carus, D-01307 Dresden, Germany
关键词
Electron tomography; Microtubules; Image processing; Segmentation; IMAGE SEGMENTATION; FILAMENTS; MICROSCOPY; RESOLUTION; ENDS;
D O I
10.1016/j.jsb.2011.12.004
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The ability to rapidly assess microtubule number in 3D image stacks from electron tomograms is essential for collecting statistically meaningful data sets. Here we implement microtubule tracing using 3D template matching. We evaluate our results by comparing the automatically traced centerlines to manual tracings in a large number of electron tomograms of the centrosome of the early Caenorhabditis elegans embryo. Furthermore, we give a qualitative description of the tracing results for three other types of samples. For dual-axis tomograms, the automatic tracing yields 4% false negatives and 8% false positives on average. For single-axis tomograms, the accuracy of tracing is lower (16% false negatives and 14% false positives) due to the missing wedge in electron tomography. We also implemented an editor specifically designed for correcting the automatic tracing. Besides, this editor can be used for annotating microtubules. The automatic tracing together with a manual correction significantly reduces the amount of manual labor for tracing microtubule centerlines so that large-scale analysis of microtubule network properties becomes feasible. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:129 / 138
页数:10
相关论文
共 31 条
[1]  
[Anonymous], 2010, NVIDIA CUDA Programming Guide
[2]   Path-based clustering for grouping of smooth curves and texture segmentation [J].
Fischer, B ;
Buhmann, JM .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (04) :513-518
[3]   Structure determination in situ by averaging of tomograms [J].
Forster, Friedrich ;
Hegerl, Reiner .
CELLULAR ELECTRON MICROSCOPY, 2007, 79 :741-767
[4]   NEURON IMAGING WITH NEUROLUCIDA - A PC-BASED SYSTEM FOR IMAGE COMBINING MICROSCOPY [J].
GLASER, JR ;
GLASER, EM .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1990, 14 (05) :307-317
[5]   Centrosome Size Sets Mitotic Spindle Length in Caenorhabditis elegans Embryos [J].
Greenan, Garrett ;
Brangwynne, Clifford P. ;
Jaensch, Steffen ;
Gharakhani, Joebin ;
Juelicher, Frank ;
Hyman, Anthony A. .
CURRENT BIOLOGY, 2010, 20 (04) :353-358
[6]   Cortical Constriction During Abscission Involves Helices of ESCRT-III-Dependent Filaments [J].
Guizetti, Julien ;
Schermelleh, Lothar ;
Maentler, Jana ;
Maar, Sandra ;
Poser, Ina ;
Leonhardt, Heinrich ;
Mueller-Reichert, Thomas ;
Gerlich, Daniel W. .
SCIENCE, 2011, 331 (6024) :1616-1620
[7]   Computational resources for cryo-electron tomography in Bsoft [J].
Heymann, J. Bernard ;
Cardone, Giovanni ;
Winkler, Dennis C. ;
Steven, Alasdair. C. .
JOURNAL OF STRUCTURAL BIOLOGY, 2008, 161 (03) :232-242
[8]   Organization of interphase microtubules in fission yeast analyzed by electron tomography [J].
Hoeoeg, Johanna L. ;
Schwartz, Cindi ;
Noon, Angela T. ;
O'Toole, Eileen T. ;
Mastronarde, David N. ;
McIntosh, J. Richard ;
Antony, Claude .
DEVELOPMENTAL CELL, 2007, 12 (03) :349-361
[9]   Automated extraction of fine features of kinetochore microtubules and plus-ends from electron tomography volume [J].
Jiang, Ming ;
Ji, Qiang ;
McEwen, Bruce F. .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (07) :2035-2048
[10]   Computer visualization of three-dimensional image data using IMOD [J].
Kremer, JR ;
Mastronarde, DN ;
McIntosh, JR .
JOURNAL OF STRUCTURAL BIOLOGY, 1996, 116 (01) :71-76