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Unbiased Stereology
Abstract
Unbiased Stereology, Second Edition is a practical guide to making unbiased 3-D measurements via the microscope. Only those stereological techniques which have been tried and tested by real application are included. Although this technology is essentially mathematical and statistical, the authors do not immerse the reader in complex analysis, but rather provide simple heuristic explanations and references to the original proof, and illustrate the theory by analogies drawn from everyday experience. To give practical experience in application of the techniques, exercises are provided at the end of each chapter, complete with detailed worked answers.
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Cited by
Meyer, U., Nyffeler, M., Engler, A., Urwyler, A., Schedlowski, M., Knuesel, I., Yee, B. K., & Feldon, J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0099-06.2006 · Cited by 774
Giovanoli, S., Engler, H., Engler, A., Richetto, J., Voget, M., Willi, R., Winter, C., Riva, M. A., Mortensen, P. B., Feldon, J., et al. (2013) · Science · doi:10.1126/science.1228261 · Cited by 459
FAAH genetic variation enhances fronto-amygdala function in mouse and human
Dincheva, I., Drysdale, A. T., Hartley, C. A., Johnson, D. C., Jing, D., King, E. C., Ra, S., Gray, J. M., Yang, R., DeGruccio, A. M., et al. (2015) · Nature Communications · doi:10.1038/ncomms7395 · Cited by 289
Vuillermot, S., Joodmardi, E., Perlmann, T., Ove Ögren, S., Feldon, J., & Meyer, U. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4831-11.2012 · Cited by 127
Ruegsegger, G. N., Pataky, M. W., Simha, S., Robinson, M. M., Klaus, K. A., & Nair, K. S. (2023) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00405.2023 · Cited by 38
Metadata
- Authors
- Howard, V., & Reed, M.
- Venue
- Garland Science eBooks
- Publisher
- Garland Science
- Published
- 2004-10-28
- OpenAlex
- W4231779193
- Cited by
- 160
- References
- 0
- FWCI
- 1.04
- Type
- book
- Language
- en
- Open access
- closed
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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.
