Quantitative ultrasound imaging of cell-laden hydrogels and printed constructs
| Autor: | Luciana Y. Daikuara, Gordon G. Wallace, Andrés Ruland, Zhilian Yue, Kerry J. Gilmore, Cormac Fay |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
0206 medical engineering Biomedical Engineering 02 engineering and technology PC12 Cells Biochemistry Imaging phantom Biomaterials Data acquisition Image Processing Computer-Assisted Animals Molecular Biology Image resolution Ultrasonography Parametric statistics Tissue Scaffolds Attenuation Hydrogels General Medicine 021001 nanoscience & nanotechnology 020601 biomedical engineering Rats Characterization (materials science) Macroscopic scale Printing Three-Dimensional Self-healing hydrogels 0210 nano-technology Biotechnology Biomedical engineering |
| Zdroj: | Acta Biomaterialia. 91:173-185 |
| ISSN: | 1742-7061 |
| DOI: | 10.1016/j.actbio.2019.04.055 |
| Popis: | In the present work we have revisited the application of quantitative ultrasound imaging (QUI) to cellular hydrogels, by using the reference phantom method (RPM) in combination with a local attenuation compensation algorithm. The investigated biological samples consisted of cell-laden collagen hydrogels with PC12 neural cells. These cell-laden hydrogels were used to calibrate the integrated backscattering coefficient (IBC) as a function of cell density, which was then used to generate parametric images of local cell density. The image resolution used for QUI and its impact on the relative IBC error was also investigated. Another important contribution of our work was the monitoring of PC12 cell proliferation. The cell number estimates obtained via the calibrated IBC compared well with data obtained using a conventional quantitative method, the MTS assay. Evaluation of spectral changes as a function of culture time also provided additional information on the cell cluster size, which was found to be in close agreement with that observed by microscopy. Last but not least, we also applied QUI on a 3D printed cellular construct in order to illustrate its capabilities for the evaluation of bioprinted structures. Statement of Significance While there is intensive research in the areas of polymer science, biology, and 3D bio-printing, there exists a gap in available characterisation tools for the non-destructive inspection of biological constructs in the three-dimensional domain, on the macroscopic scale, and with fast data acquisition times. Quantitative ultrasound imaging is a suitable characterization technique for providing essential information on the development of tissue engineered constructs. These results provide a detailed and comprehensive guide on the capabilities and limitations of the technique. |
| Databáze: | OpenAIRE |
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