Abstract
Cargo movement along axons and dendrites is indispensable for the survival and maintenance of neuronal networks. Key parameters of this transport such as particle velocities and pausing times are often studied using kymograph construction, which converts the transport along a line of interest from a time-lapse movie into a position versus time image. Here we present a method for the automatic analysis of such kymographs based on the Hough transform, which is a robust and fast technique to extract lines from images. The applicability of the method was tested on simulated kymograph images and real data from axonal transport of synaptophysin and tetanus toxin as well as the velocity analysis of synaptic vesicle sharing between adjacent synapses in hippocampal neurons. Efficiency analysis revealed that the algorithm is able to detect a wide range of velocities and can be used at low signal-to-noise ratios. The present work enables the quantification of axonal transport parameters with high throughput with no a priori assumptions and minimal human intervention.
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References
Ballard DH (1981) Generalizing the Hough transform to detect arbitrary shapes. Pattern Recogn 13:111–122
Betz WJ, Bewick GS, Ridge RM (1992) Intracellular movements of fluorescently labeled synaptic vesicles in frog motor nerve terminals during nerve stimulation. Neuron 9:805–813
Bilsland LG, Sahai E, Kelly G, Golding M, Greensmith L, Schiavo G (2010) Deficits in axonal transport precede ALS symptoms in vivo. Proc Natl Acad Sci U S A 107:20523–20528
Bohnert S, Schiavo G (2005) Tetanus toxin is transported in a novel neuronal compartment characterized by a specialized pH regulation. J Biol Chem 280:42336–42344
Bonanomi D, Rusconi L, Colombo CA, Benfenati F, Valtorta F (2007) Synaptophysin I selectively specifies the exocytic pathway of synaptobrevin 2/VAMP2. Biochem J 404:525–534
Canny J (1986) A computational approach to edge-detection. IEEE Trans Pattern Anal Mach Intell 8:679–698
Cheezum MK, Walker WF, Guilford WH (2001) Quantitative comparison of algorithms for tracking single fluorescent particles. Biophys J 81:2378–2388
Darcy KJ, Staras K, Collinson LM, Goda Y (2006) Constitutive sharing of recycling synaptic vesicles between presynaptic boutons. Nat Neurosci 9:315–321
DeBolt S, Gutierrez R, Ehrhardt DW, Melo CV, Ross L, Cutler SR, Somerville C, Bonetta D (2007) Morlin, an inhibitor of cortical microtubule dynamics and cellulose synthase movement. Proc Natl Acad Sci USA 104:5854–5859
Deinhardt K, Berninghausen O, Willison HJ, Hopkins CR, Schiavo G (2006) Tetanus toxin is internalized by a sequential clathrin-dependent mechanism initiated within lipid microdomains and independent of epsin1. J Cell Biol 174:459–471
Ekstrom P, Kanje M (1984) Inhibition of fast axonal transport by erythro-9-[3-(2-hydroxynonyl)]adenine. J Neurochem 43:1342–1345
Groemer TW, Klingauf J (2007) Synaptic vesicles recycling spontaneously and during activity belong to the same vesicle pool. Nat Neurosci 10:145–147
Hough PVC (1962) Method and means for recognizing complex patterns. Hough P. V. C., United States
Kamat V, Ganesan S (1995) An efficient implementation of the Hough transform for detecting vehicle license plates using DSP’S real-time technology and applications symposium, 1995. In: Proceedings, pp 58–59
Lalli G, Bohnert S, Deinhardt K, Verastegui C, Schiavo G (2003) The journey of tetanus and botulinum neurotoxins in neurons. Trends Microbiol 11:431–437
Miller KE, Sheetz MP (2004) Axonal mitochondrial transport and potential are correlated. J Cell Sci 117:2791–2804
Miller KE, Sheetz MP (2006) Direct evidence for coherent low velocity axonal transport of mitochondria. J Cell Biol 173:373–381
Morfini GA, Burns M, Binder LI, Kanaan NM, LaPointe N, Bosco DA, Brown RH Jr, Brown H, Tiwari A, Hayward L, Edgar J, Nave KA, Garberrn J, Atagi Y, Song Y, Pigino G, Brady ST (2009) Axonal transport defects in neurodegenerative diseases. J Neurosci 29:12776–12786
Pereira AJ, Maiato H (2010) Improved kymography tools and its applications to mitosis. Methods 51:214–219
Roy S, Zhang B, Lee VM, Trojanowski JQ (2005) Axonal transport defects: a common theme in neurodegenerative diseases. Acta Neuropathol 109:5–13
Roy S, Winton MJ, Black MM, Trojanowski JQ, Lee VM (2007) Rapid and intermittent cotransport of slow component-b proteins. J Neurosci 27:3131–3138
Roze E, Bonnet C, Betuing S, Caboche J (2010) Huntington’s disease. Adv Exp Med Biol 685:45–63
Ryan TA, Smith SJ (1995) Vesicle pool mobilization during action potential firing at hippocampal synapses. Neuron 14:983–989
Ryan TA, Li L, Chin LS, Greengard P, Smith SJ (1996) Synaptic vesicle recycling in synapsin I knock-out mice. J Cell Biol 134:1219–1227
Salinas S, Bilsland LG, Schiavo G (2008) Molecular landmarks along the axonal route: axonal transport in health and disease. Curr Opin Cell Biol 20:445–453
Salinas S, Schiavo G, Kremer EJ (2010) A hitchhiker’s guide to the nervous system: the complex journey of viruses and toxins. Nat Rev Microbiol 8:645–655
Sbalzarini IF, Koumoutsakos P (2005) Feature point tracking and trajectory analysis for video imaging in cell biology. J Struct Biol 151:182–195
Shakiryanova D, Tully A, Levitan ES (2006) Activity-dependent synaptic capture of transiting peptidergic vesicles. Nat Neurosci 9:896–900
Smal I, Draegestein K, Galjart N, Niessen W, Meijering E (2008) Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: application to microtubule growth analysis. IEEE Trans Med Imaging 27:789–804
Staras K, Branco T, Burden JJ, Pozo K, Darcy K, Marra V, Ratnayaka A, Goda Y (2010) A vesicle superpool spans multiple presynaptic terminals in hippocampal neurons. Neuron 66:37–44
Stroebel A, Welzel O, Kornhuber J, Groemer TW (2010) Background determination-based detection of scattered peaks. Microsc Res Tech 73:1115–1122
Threadgill R, Bobb K, Ghosh A (1997) Regulation of dendritic growth and remodeling by Rho, Rac, and Cdc42. Neuron 19:625–634
Welzel O, Boening D, Stroebel A, Reulbach U, Klingauf J, Kornhuber J, Groemer TW (2009) Determination of axonal transport velocities via image cross- and autocorrelation. Eur Biophys J 38:883–889
Welzel O, Tischbirek CH, Jung J, Kohler EM, Svetlitchny A, Henkel AW, Kornhuber J, Groemer TW (2010) Synapse clusters are preferentially formed by synapses with large recycling pool sizes. PLoS ONE 5:e13514
Yanamura Y, Goto M, Nishiyama D, Soga M, Nakatani H, Saji H (2003) Extraction and tracking of the license plate using Hough transform and voted block matching Intelligent Vehicles Symposium, 2003. In: Proceedings. IEEE, pp 243–246
Yu B, Jain AK (1997) Lane boundary detection using a multiresolution Hough transform image processing, 1997. In: Proceedings, international conference on, vol 2, pp 748–751
Zhang K, Osakada Y, Xie W, Cui B (2011) Automated image analysis for tracking cargo transport in axons. Microsc Res Tech 74:n/a. doi:10.1002/jemt.20934
Zhou HM, Brust-Mascher I, Scholey JM (2001) Direct visualization of the movement of the monomeric axonal transport motor UNC-104 along neuronal processes in living Caenorhabditis elegans. J Neurosci 21:3749–3755
Acknowledgments
We thank Katrin Ebert for excellent technical assistance. This work was supported by the Erlanger Leistungsbezogene Anschubfinanzierung und Nachwuchsförderung ELAN Grant Nr. PS-08.09.22.2 and by the Interdisciplinary Center of Clinical Research (IZKF) in Erlangen (Project J5) (both to TWG).
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O. Welzel and J. Knörr contributed equally to this work.
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Welzel, O., Knörr, J., Stroebel, A.M. et al. A fast and robust method for automated analysis of axonal transport. Eur Biophys J 40, 1061–1069 (2011). https://doi.org/10.1007/s00249-011-0722-3
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DOI: https://doi.org/10.1007/s00249-011-0722-3