The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
A review of imaging techniques for systems biology
Open accessAbstract
This paper presents a review of imaging techniques and of their utility in system biology. During the last decade systems biology has matured into a distinct field and imaging has been increasingly used to enable the interplay of experimental and theoretical biology. In this review, we describe and compare the roles of microscopy, ultrasound, CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), and molecular probes such as quantum dots and nanoshells in systems biology. As a unified application area among these different imaging techniques, examples in cancer targeting are highlighted.
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Cites
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Cited by
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
Giesen, C., Wang, H. A. O., Schapiro, D., Zivanovic, N., Jacobs, A., Hattendorf, B., Schüffler, P. J., Grolimund, D., Buhmann, J. M., Brandt, S., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2869 · Cited by 1,951
Pharmaceutical nanotechnology: from the bench to the market
Mazayen, Z. M., Ghoneim, A. M., Elbatanony, R. S., Basalious, E. B., & Bendas, E. R. (2022) · Future Journal of Pharmaceutical Sciences · doi:10.1186/s43094-022-00400-0 · Cited by 208
Metadata
- Authors
- Kherlopian, A. R., Song, T., Duan, Q., Neimark, M. A., Po, M. J., Gohagan, J. K., & Laine, A. F.
- Venue
- BMC Systems Biology
- Published
- 2008-08-12
- Volume
- 2
- Issue
- 1
- Pages
- 74-74
- ISSN
- 1752-0509 (ISSN-L)
- OpenAlex
- W2037179014
- Cited by
- 310
- References
- 85
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kherlopian, A. R., Song, T., Duan, Q., Neimark, M. A., Po, M. J., Gohagan, J. K., & Laine, A. F. (2008). A review of imaging techniques for systems biology. BMC Systems Biology. https://doi.org/10.1186/1752-0509-2-74
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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.
