APA (7th ed.) Citation

Vaiani, L., Migliorini, E., Cavalcanti-Adam, E. A., Uva, A. E., Fiorentino, M., Gattullo, M., . . . Boccaccio, A. (2021). Coarse-grained elastic network modelling: A fast and stable numerical tool to characterize mesenchymal stem cells subjected to AFM nanoindentation measurements. Materials science & engineering. C, Materials for biological applications, 121, . https://doi.org/10.1016/j.msec.2020.111860

Chicago Style (17th ed.) Citation

Vaiani, Lorenzo, E. Migliorini, Elisabetta A. Cavalcanti-Adam, A. E. Uva, M. Fiorentino, M. Gattullo, V. M. Manghisi, and A. Boccaccio. "Coarse-grained Elastic Network Modelling: A Fast and Stable Numerical Tool to Characterize Mesenchymal Stem Cells Subjected to AFM Nanoindentation Measurements." Materials Science & Engineering. C, Materials for Biological Applications 121 (2021). https://doi.org/10.1016/j.msec.2020.111860.

MLA (9th ed.) Citation

Vaiani, Lorenzo, et al. "Coarse-grained Elastic Network Modelling: A Fast and Stable Numerical Tool to Characterize Mesenchymal Stem Cells Subjected to AFM Nanoindentation Measurements." Materials Science & Engineering. C, Materials for Biological Applications, vol. 121, 2021, https://doi.org/10.1016/j.msec.2020.111860.