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A METHOD FOR THE MICRODISSECTION OF INTACT PANCREATIC ISLETS OF MAMMALS
Abstract
A technique for the dissection of fresh pancreatic islets of different mammalian species is described. Besides being suitable for microchemical analyses, the isolated islets seem of potential value for direct studies of the metabolism of the islet cells. The method has proved to be useful for the isolation of relatively large amounts of islet tissue for analytical purposes.
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Citations
Cited by
Clinical pancreatic islet transplantation
Shapiro, A. M. J., Pokrywczynska, M., & Ricordi, C. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.178 · Cited by 747
Scharp, D. W., & Marchetti, P. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.07.018 · Cited by 314
Membrane potential of beta-cells in pancreatic islets
Meissner, H. P., & Schmelz, H. (1974) · Pfl�gers Archiv European Journal of Physiology · doi:10.1007/bf00586918 · Cited by 295
The Future of Islet Transplantation Is Now
Bottino, R., Knoll, M. F., Knoll, C. A., Bertera, S., & Trucco, M. M. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00202 · Cited by 93
Metadata
- Authors
- Hellerström, C.
- Venue
- Acta Endocrinologica
- Publisher
- Oxford University Press (OUP)
- Published
- 1964-01
- Volume
- 45
- Issue
- 1
- Pages
- 122-132
- ISSN
- 0804-4643 (ISSN-L)
- 1479-683X
- OpenAlex
- W2167677553
- Cited by
- 217
- References
- 0
- FWCI
- 21.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: A METHOD FOR THE MICRODISSECTION OF INTACT PANCREATIC ISLETS OF MAMMALS. https://app.cochat.ai/papers/10.1530/acta.0.0450122
- The paper
- Hellerström, C. (1964). A METHOD FOR THE MICRODISSECTION OF INTACT PANCREATIC ISLETS OF MAMMALS. Acta Endocrinologica. https://doi.org/10.1530/acta.0.0450122
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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.
