The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
SNT: a unifying toolbox for quantification of neuronal anatomy
Open accessAbstract
SNT is an end-to-end framework for neuronal morphometry and whole-brain connectomics that supports tracing, proof-editing, visualization, quantification and modeling of neuroanatomy. With an open architecture, a large user base, community-based documentation, support for complex imagery and several model organisms, SNT is a flexible resource for the broad neuroscience community. SNT is both a desktop application and multi-language scripting library, and it is available through the Fiji distribution of ImageJ. SNT is a toolbox neuronal morphometry and connectomics and provides various analysis, visualization, quantification and modeling tools.
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Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
(2008) · Journal of Machine Learning Research · Cited by 33,051
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826
HORTON, R. E. (1945) · Geological Society of America Bulletin · doi:10.1130/0016-7606(1945)56[275:edosat]2.0.co;2 · Cited by 6,221
ImageJ2: ImageJ for the next generation of scientific image data
Rueden, C. T., Schindelin, J., Hiner, M. C., DeZonia, B. E., Walter, A. E., Arena, E. T., & Eliceiri, K. W. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1934-z · Cited by 5,980
Quantitative analysis of watershed geomorphology
(1957) · Eos, Transactions American Geophysical Union · doi:10.1029/tr038i006p00913 · Cited by 5,959
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Multiscale vessel enhancement filtering
Frangi, A. F., Niessen, W. J., Vincken, K. L., & Viergever, M. A. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0056195 · Cited by 3,707
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042
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LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Arzt, M., Deschamps, J., Schmied, C., Pietzsch, T., Schmidt, D., Tomancak, P., Haase, R., & Jug, F. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.777728 · Cited by 405
Weigel, B., Tegethoff, J. F., Grieder, S. D., Lim, B., Nagarajan, B., Liu, Y.-C., Truberg, J., Papageorgiou, D., Adrian-Segarra, J. M., Schmidt, L. K., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-01959-7 · Cited by 31
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Tran, M. V., Khuntsariya, D., Fetter, R. D., Ferguson, J. W., Wang, J. T., Long, A. F., Cote, L. E., Wellard, S. R., Vázquez-Martínez, N., Sallee, M. D., et al. (2024) · Developmental Cell · doi:10.1016/j.devcel.2023.12.001 · Cited by 18
Vanaja, I. P., Scalco, A., Ronfini, M., Bona, A. D., Olianti, C., Rizzo, S., Chelko, S. P., Corrado, D., Sacconi, L., Basso, C., et al. (2025) · The Journal of Physiology · doi:10.1113/jp286845 · Cited by 17
Metadata
- Authors
- Arshadi, C., Günther, U., Eddison, M., Harrington, K. I. S., & Ferreira, T. A.
- Venue
- Nature Methods
- Published
- 2021-04
- Volume
- 18
- Issue
- 4
- Pages
- 374-377
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W3148916402
- Cited by
- 470
- References
- 55
- FWCI
- 24.40
- Type
- journal article
- Language
- en
- Open access
- green
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