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Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images
Open accessAbstract
Background: For the investigation of the molecular mechanisms involved in neurite outgrowth and differentiation, accurate and reproducible segmentation and quantification of neuronal processes are a prerequisite. To facilitate this task, we developed a semiautomatic neurite tracing technique. This article describes the design and validation of the technique. Methods: The technique was compared to fully manual delineation. Four observers repeatedly traced selected neurites in 20 fluorescence microscopy images of cells in culture, using both methods. Accuracy and reproducibility were determined by comparing the tracings to high‐resolution reference tracings, using two error measures. Labor intensiveness was measured in numbers of mouse clicks required. The significance of the results was determined by a Student t‐test and by analysis of variance. Results: Both methods slightly underestimated the true neurite length, but the differences were not unanimously significant. The average deviation from the true neurite centerline was a factor 2.6 smaller with the developed technique compared to fully manual tracing. Intraobserver variability in the respective measures was reduced by a factor 6.0 and 23.2. Interobserver variability was reduced by a factor 2.4 and 8.8, respectively, and labor intensiveness by a factor 3.3. Conclusions: Providing similar accuracy in measuring neurite length, significantly improved accuracy in neurite centerline extraction, and significantly improved reproducibility and reduced labor intensiveness, the developed technique may replace fully manual tracing methods. © 2004 Wiley‐Liss, Inc.
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Cites
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
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Lian, H., Yang, L., Cole, A., Sun, L., Chiang, A. C.-A., Fowler, S. W., Shim, D. J., Rodriguez-Rivera, J., Taglialatela, G., Jankowsky, J. L., et al. (2015) · Neuron · doi:10.1016/j.neuron.2014.11.018 · Cited by 697
Peng, H., Ruan, Z., Long, F., Simpson, J. H., & Myers, E. W. (2010) · Nature Biotechnology · doi:10.1038/nbt.1612 · Cited by 707
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Klim, J. R., Williams, L. A., Limone, F., Guerra San Juan, I., Davis-Dusenbery, B. N., Mordes, D. A., Burberry, A., Steinbaugh, M. J., Gamage, K. K., Kirchner, R., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0300-4 · Cited by 653
Human endogenous retrovirus-K contributes to motor neuron disease
Li, W., Lee, M.-H., Henderson, L., Tyagi, R., Bachani, M., Steiner, J., Campanac, E., Hoffman, D. A., von Geldern, G., Johnson, K., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac8201 · Cited by 482
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Cancedda, L., Fiumelli, H., Chen, K., & Poo, M.-M. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5169-06.2007 · Cited by 392
Three-dimensional Ca 2+ imaging advances understanding of astrocyte biology
Bindocci, E., Savtchouk, I., Liaudet, N., Becker, D., Carriero, G., & Volterra, A. (2017) · Science · doi:10.1126/science.aai8185 · Cited by 342
Seizures accelerate functional integration of adult-generated granule cells
Overstreet-Wadiche, L. S., Bromberg, D. A., Bensen, A. L., & Westbrook, G. L. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5508-05.2006 · Cited by 266
The natverse, a versatile toolbox for combining and analysing neuroanatomical data
Bates, A. S., Manton, J. D., Jagannathan, S. R., Costa, M., Schlegel, P., Rohlfing, T., & Jefferis, G. S. (2020) · eLife · doi:10.7554/elife.53350 · Cited by 215
Godin, A. G., Varela, J. A., Gao, Z., Danné, N., Dupuis, J. P., Lounis, B., Groc, L., & Cognet, L. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2016.248 · Cited by 253
Fallini, C., Bassell, G. J., & Rossoll, W. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds205 · Cited by 247
Functional connectomics spanning multiple areas of mouse visual cortex
The MICrONS Consortium, Bae, J. A., Baptiste, M., Bishop, C. A., Bodor, A. L., Brittain, D., Buchanan, J., Bumbarger, D. J., Castro, M. A., Celii, B., et al. (2021) · doi:10.1101/2021.07.28.454025 · Cited by 214
ROCK2 is a major regulator of axonal degeneration, neuronal death and axonal regeneration in the CNS
Koch, J. C., Tönges, L., Barski, E., Michel, U., Bähr, M., & Lingor, P. (2014) · Cell Death & Disease · doi:10.1038/cddis.2014.191 · Cited by 197
Benoit, M. E., Hernandez, M. X., Dinh, M. L., Benavente, F., Vasquez, O., & Tenner, A. J. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.400168 · Cited by 155
Furlan, A., La Manno, G., Lübke, M., Häring, M., Abdo, H., Hochgerner, H., Kupari, J., Usoskin, D., Airaksinen, M. S., Oliver, G., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4376 · Cited by 140
Evolution of Osteocrin as an activity-regulated factor in the primate brain
Ataman, B., Boulting, G. L., Harmin, D. A., Yang, M. G., Baker-Salisbury, M., Yap, E.-L., Malik, A. N., Mei, K., Rubin, A. A., Spiegel, I., et al. (2016) · Nature · doi:10.1038/nature20111 · Cited by 149
Lindborg, B. A., Brekke, J. H., Vegoe, A. L., Ulrich, C. B., Haider, K. T., Subramaniam, S., Venhuizen, S. L., Eide, C. R., Orchard, P. J., Chen, W., et al. (2016) · Stem Cells Translational Medicine · doi:10.5966/sctm.2015-0305 · Cited by 141
Benoit (2011) · doi:10.1523/jneurosci.3932-10.2011 · Cited by 144
Ultrastructure of the axonal periodic scaffold reveals a braid-like organization of actin rings
Vassilopoulos, S., Gibaud, S., Jimenez, A., Caillol, G., & Leterrier, C. (2019) · Nature Communications · doi:10.1038/s41467-019-13835-6 · Cited by 143
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Wayman, G. A., Yang, D., Bose, D. D., Lesiak, A., Ledoux, V., Bruun, D., Pessah, I. N., & Lein, P. J. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1104832 · Cited by 136
Gasparini, L., Anthony Crowther, R., Martin, K. R., Berg, N., Coleman, M., Goedert, M., & Spillantini, M. G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.03.002 · Cited by 133
Parkin mutations reduce the complexity of neuronal processes in iPSC-derived human neurons
Ren, Y., Jiang, H., Hu, Z., Fan, K., Wang, J., Janoschka, S., Wang, X., Ge, S., & Feng, J. (2015) · Stem Cells · doi:10.1002/stem.1854 · Cited by 109
Chapter 11 Autophagy in Neurite Injury and Neurodegeneration
Chu, C. T., Plowey, E. D., Dagda, R. K., Hickey, R. W., Cherra, S. J., & Clark, R. S. B. (2009) · Methods in Enzymology · doi:10.1016/s0076-6879(08)04011-1 · Cited by 107
Meseguer, S., Mudduluru, G., Escamilla, J. M., Allgayer, H., & Barettino, D. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.167817 · Cited by 107
Pattern of innervation and recruitment of different classes of motoneurons in adult zebrafish
Ampatzis, K., Song, J., Ausborn, J., & El Manira, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0896-13.2013 · Cited by 102
Cell-autonomous inactivation of the reelin pathway impairs adult neurogenesis in the hippocampus
Teixeira, C. M., Kron, M. M., Masachs, N., Zhang, H., Lagace, D. C., Martinez, A., Reillo, I., Duan, X., Bosch, C., Pujadas, L., et al. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1857-12.2012 · Cited by 97
Marker, D. F., Puccini, J. M., Mockus, T. E., Barbieri, J., Lu, S.-M., & Gelbard, H. A. (2012) · Journal of Neuroinflammation · doi:10.1186/1742-2094-9-261 · Cited by 90
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Hu, F., Li, T., Gong, H., Chen, Z., Jin, Y., Xu, G., & Wang, M. (2017) · Advanced Science · doi:10.1002/advs.201600493 · Cited by 87
Tau misfolding efficiently propagates between individual intact hippocampal neurons
Hallinan, G. I., Vargas-Caballero, M., West, J., & Deinhardt, K. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1590-19.2019 · Cited by 59
Kawahata, I., Bousset, L., Melki, R., & Fukunaga, K. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20215358 · Cited by 56
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Figueiro-Silva, J., Gruart, A., Clayton, K. B., Podlesniy, P., Abad, M. A., Gasull, X., Delgado-García, J. M., & Trullas, R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2548-14.2015 · Cited by 53
Niederst, E. D., Reyna, S. M., & Goldstein, L. S. B. (2015) · Molecular Biology of the Cell · doi:10.1091/mbc.e14-06-1049 · Cited by 51
MicroRNA-181 promotes synaptogenesis and attenuates axonal outgrowth in cortical neurons
Kos, A., Olde Loohuis, N., Meinhardt, J., van Bokhoven, H., Kaplan, B. B., Martens, G. J., & Aschrafi, A. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2179-0 · Cited by 50
Sorting nexin 17 regulates ApoER2 recycling and reelin signaling
Sotelo, P., Farfán, P., Benitez, M. L., Bu, G., & Marzolo, M.-P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093672 · Cited by 47
Substrates coated with silver nanoparticles as a neuronal regenerative material.
Shefi, O., Alon, Miroshnikov, Perkas, Gedanken, A., & Nissan, I. (2014) · International Journal of Nanomedicine · doi:10.2147/ijn.s45639 · Cited by 47
Astrocytic and neuronal apolipoprotein E isoforms differentially affect neuronal excitability
Konings, S. C., Torres-Garcia, L., Martinsson, I., & Gouras, G. K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.734001 · Cited by 43
Ran-dependent TPX2 activation promotes acentrosomal microtubule nucleation in neurons
Chen, W.-S., Chen, Y.-J., Huang, Y.-A., Hsieh, B.-Y., Chiu, H.-C., Kao, P.-Y., Chao, C.-Y., & Hwang, E. (2017) · Scientific Reports · doi:10.1038/srep42297 · Cited by 41
FE65 interacts with ADP-ribosylation factor 6 to promote neurite outgrowth
Cheung, H. N. M., Dunbar, C., Mórotz, G. M., Cheng, W. H., Chan, H. Y. E., Miller, C. C. J., & Lau, K. (2014) · The FASEB Journal · doi:10.1096/fj.13-232694 · Cited by 37
Bogetofte, H., Jensen, P., Okarmus, J., Schmidt, S. I., Agger, M., Ryding, M., Nørregaard, P., Fenger, C., Zeng, X., Graakjær, J., et al. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104581 · Cited by 35
Ionescu, R.-B., Nicaise, A. M., Reisz, J. A., Williams, E. C., Prasad, P., Willis, C. M., Simões-Abade, M. B. C., Sbarro, L., Dzieciatkowska, M., Stephenson, D., et al. (2024) · Cell Stem Cell · doi:10.1016/j.stem.2024.09.014 · Cited by 34
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Sitarska, E., Almeida, S. D., Beckwith, M. S., Stopp, J., Czuchnowski, J., Siggel, M., Roessner, R., Tschanz, A., Ejsing, C., Schwab, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41173-1 · Cited by 34
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Herbst, C., Bothe, V., Wegler, M., Axer-Schaefer, S., Audebert-Bellanger, S., Gecz, J., Cogne, B., Feldman, H. B., Horn, A. H. C., Hurst, A. C. E., et al. (2024) · Human Genetics · doi:10.1007/s00439-024-02655-4 · Cited by 7
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Li, A., Zhang, J., Ma, C., Qi, L., Hu, Q., Li, Q., Fang, Y., Song, J., Liu, Y., & Zhang, Y. (2025) · iScience · doi:10.1016/j.isci.2025.112385
Metadata
- Authors
- Meijering, E., Jacob, M., Sarria, J. ‐. F., Steiner, P., Hirling, H., & Unser, M.
- Venue
- Cytometry Part A
- Publisher
- Wiley
- Published
- 2004-03-15
- Volume
- 58A
- Issue
- 2
- Pages
- 167-176
- ISSN
- 1552-4922 (ISSN-L)
- 1552-4930
- OpenAlex
- W2169931542
- Cited by
- 1,608
- References
- 1
- FWCI
- 12.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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