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Sholl analysis is a standard automated method that can characterize and quantify the complexity and extent of microglial processes.
“we completed an extensive morphological investigation using Sholl analysis, a standard automated method (Sholl, 1953) that can characterize and quantify the complexity and extent of microglial processes (Ferreira et al., 2014; Morrison and Filosa, 2013; Heindl et al., 2018; Sipe et al., 2016).”
From The neuronal retromer can regulate both neuronal and microglial phenotypes of Alzheimer's disease (2022) · cites this paper as Ferreira et al., 2014
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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
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Research works printed but not linked: 4
- Sholl, D.A. J. Anat. 87, 387–406 (1953).
- Ristanovic´, D. et al. J. Neurosci. Methods 158, 212–218 (2006). · DOI
- Buchanan, K.A. et al. Neuron 75, 451–466 (2012). · DOI · Paper page
- Strahler, A.N. Geol. Soc. Am. Bull. 63, 1117–1142 (1952). · DOI · Paper page
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Metadata
- Authors
- Ferreira, T. A., Blackman, A. V., Oyrer, J., Jayabal, S., Chung, A. J., Watt, A. J., Sjöström, P. J., & van Meyel, D. J.
- Venue
- Nature Methods
- Published
- 2014-09-29
- Volume
- 11
- Issue
- 10
- Pages
- 982-984
- ISSN
- 1548-7091
- 1548-7105
- Cited by
- 725
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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