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Neuronal Geometry: Determination with a Technique of Intracellular Dye Injection
Abstract
In a study of the specificity of neuronal connections in lobster abdominal ganglia, the dye Procion Yellow M4RS was electrophoretically injected into identified cell bodies. This dye spreads into fine branches of cells, survives fixation and routine histological procedures, and permits the reconstruction of cell shapes through examination of serial sections of ganglia. Certain cells were found to have an internal bilateral symmetry. Repeated injection of the same cells in ganglia from different animals showed that cells have characteristic shapes and that the neuropil is highly structured. This method of dye injection should have general applicability in studies where a knowledge of the geometry of specific cells is important.
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From the connectome to brain function
Bargmann, C. I., & Marder, E. (2013) · Nature Methods · doi:10.1038/nmeth.2451 · Cited by 561
Jankowska, E., & Lindström, S. (1972) · The Journal of Physiology · doi:10.1113/jphysiol.1972.sp010011 · Cited by 288
Northcutt, A. J., Lett, K. M., Garcia, V. B., Diester, C. M., Lane, B. J., Marder, E., & Schulz, D. J. (2016) · BMC Genomics · doi:10.1186/s12864-016-3215-z · Cited by 86
Metadata
- Authors
- Stretton, A. O. W., & Kravitz, E. A.
- Venue
- Science
- Published
- 1968-10-04
- Volume
- 162
- Issue
- 3849
- Pages
- 132-134
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2074308372
- Cited by
- 416
- References
- 0
- FWCI
- 13.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neuronal Geometry: Determination with a Technique of Intracellular Dye Injection. https://app.cochat.ai/papers/10.1126/science.162.3849.132
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- Stretton, A. O. W., & Kravitz, E. A. (1968). Neuronal Geometry: Determination with a Technique of Intracellular Dye Injection. Science. https://doi.org/10.1126/science.162.3849.132
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
