The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.
Imaging challenges in biomaterials and tissue engineering
Open accessAbstract
Biomaterials are employed in the fields of tissue engineering and regenerative medicine (TERM) in order to enhance the regeneration or replacement of tissue function and/or structure. The unique environments resulting from the presence of biomaterials, cells, and tissues result in distinct challenges in regards to monitoring and assessing the results of these interventions. Imaging technologies for three-dimensional (3D) analysis have been identified as a strategic priority in TERM research. Traditionally, histological and immunohistochemical techniques have been used to evaluate engineered tissues. However, these methods do not allow for an accurate volume assessment, are invasive, and do not provide information on functional status. Imaging techniques are needed that enable non-destructive, longitudinal, quantitative, and three-dimensional analysis of TERM strategies. This review focuses on evaluating the application of available imaging modalities for assessment of biomaterials and tissue in TERM applications. Included is a discussion of limitations of these techniques and identification of areas for further development.
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Cites
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Optical coherence tomography for ultrahigh resolution in vivo imaging
Fujimoto, J. G. (2003) · Nature Biotechnology · doi:10.1038/nbt892 · Cited by 1,033
A comparison of micro CT with other techniques used in the characterization of scaffolds
Ho, S. T., & Hutmacher, D. W. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2005.08.035 · Cited by 609
Amini, A., & Cheng, C. (2013) · Scientific Reports · doi:10.1038/srep03316 · Cited by 594
Patel, Z. S., Young, S., Tabata, Y., Jansen, J. A., Wong, M. E. K., & Mikos, A. G. (2008) · Bone · doi:10.1016/j.bone.2008.06.019 · Cited by 580
Kawamura, M., Miyagawa, S., Miki, K., Saito, A., Fukushima, S., Higuchi, T., Kawamura, T., Kuratani, T., Daimon, T., Shimizu, T., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.084343 · Cited by 495
Assessment of bone ingrowth into porous biomaterials using MICRO-CT
Jones, A. C., Arns, C. H., Sheppard, A. P., Hutmacher, D. W., Milthorpe, B. K., & Knackstedt, M. A. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.01.046 · Cited by 422
Coating of VEGF-releasing scaffolds with bioactive glass for angiogenesis and bone regeneration
Kent Leach, J., Kaigler, D., Wang, Z., Krebsbach, P. H., & Mooney, D. J. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2006.01.033 · Cited by 411
Microarchitectural and mechanical characterization of oriented porous polymer scaffolds
Lin, A. S. P., Barrows, T. H., Cartmell, S. H., & Guldberg, R. E. (2003) · Biomaterials · doi:10.1016/s0142-9612(02)00361-7 · Cited by 394
Micro-Computed Tomography—Current Status and Developments
Ritman, E. L. (2004) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.6.040803.140130 · Cited by 360
Cited by
Song, J., Yang, X., Jacobson, O., Lin, L., Huang, P., Niu, G., Ma, Q., & Chen, X. (2015) · ACS Nano · doi:10.1021/acsnano.5b03804 · Cited by 319
Recent advances in regenerative biomaterials
Cao, D., & Ding, J. (2022) · Regenerative Biomaterials · doi:10.1093/rb/rbac098 · Cited by 259
Hinderer, S., Brauchle, E., & Schenke‐Layland, K. (2015) · Advanced Healthcare Materials · doi:10.1002/adhm.201400762 · Cited by 68
USPIO-labeled textile materials for non-invasive MR imaging of tissue-engineered vascular grafts
Mertens, M. E., Koch, S., Schuster, P., Wehner, J., Wu, Z., Gremse, F., Schulz, V., Rongen, L., Wolf, F., Frese, J., et al. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2014.10.076 · Cited by 71
Metadata
- Authors
- Appel, A. A., Anastasio, M. A., Larson, J. C., & Brey, E. M.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 34
- Issue
- 28
- Pages
- 6615-6630
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1963654190
- Cited by
- 273
- References
- 150
- FWCI
- 24.55
- Type
- journal article
- Language
- en
- Open access
- green
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- Appel, A. A., Anastasio, M. A., Larson, J. C., & Brey, E. M. (2013). Imaging challenges in biomaterials and tissue engineering. Biomaterials. https://doi.org/10.1016/j.biomaterials.2013.05.033
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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