Cite
Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis.
MLA
Dalli, Jeffrey, et al. “Evaluating Clinical Near-Infrared Surgical Camera Systems with a View to Optimizing Operator and Computational Signal Analysis.” Journal of Biomedical Optics, vol. 28, no. 3, Mar. 2023, p. 35002. EBSCOhost, https://doi.org/10.1117/1.JBO.28.3.035002.
APA
Dalli, J., Jindal, A., Gallagher, G., Epperlein, J. P., Hardy, N. P., Malallah, R., O’Donoghue, K., Cantillon-Murphy, P., Mac Aonghusa, P. G., & Cahill, R. A. (2023). Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis. Journal of Biomedical Optics, 28(3), 35002. https://doi.org/10.1117/1.JBO.28.3.035002
Chicago
Dalli, Jeffrey, Abhinav Jindal, Gareth Gallagher, Jonathan P. Epperlein, Niall P. Hardy, Ra’ed Malallah, Kilian O’Donoghue, Padraig Cantillon-Murphy, Pól G. Mac Aonghusa, and Ronan A. Cahill. 2023. “Evaluating Clinical Near-Infrared Surgical Camera Systems with a View to Optimizing Operator and Computational Signal Analysis.” Journal of Biomedical Optics 28 (3): 35002. doi:10.1117/1.JBO.28.3.035002.