Bydlon, T. M. et al. Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins. Optics express 18, 8058–8076 (2010).
Publications
2010
Ostrander, J. H. et al. Optical redox ratio differentiates breast cancer cell lines based on estrogen receptor status. Cancer research 70, 4759–4766 (2010).
Kennedy, S. et al. Optical breast cancer margin assessment: an observational study of the effects of tissue heterogeneity on optical contrast. Breast Cancer Research 12, 1–13 (2010).
2009
Brown, Q. et al. Quantitative optical spectroscopy: a robust tool for direct measurement of breast cancer vascular oxygenation and total hemoglobin content in vivo. Cancer research 69, 2919–2926 (2009).
Brown, Q., Vishwanath, K., Palmer, G. M. & Ramanujam, N. Advances in quantitative UV—visible spectroscopy for clinical and pre-clinical application in cancer. Current opinion in biotechnology 20, 119–131 (2009).
Wilke, L. G. et al. Rapid noninvasive optical imaging of tissue composition in breast tumor margins. The American Journal of Surgery 198, 566–574 (2009).
Brown, Q. et al. Optical assesssment of tumor resection margins in the breast. IEEE Journal of selected topics in Quantum Electronics 16, 530–544 (2009).
2008
Bender, J. E. et al. A robust Monte Carlo model for the extraction of biological absorption and scattering in vivo. IEEE transactions on biomedical engineering 56, 960–968 (2008).
2006
Brown, Q. & McShane, M. J. Modeling of spherical fluorescent glucose microsensor systems: design of enzymatic smart tattoos. Biosensors and Bioelectronics 21, 1760–1769 (2006).
Brown, Q., Srivastava, R., Zhu, H. & McShane, M. J. Enzymatic fluorescent microsphere glucose sensors: evaluation of response under dynamic conditions. Diabetes technology & therapeutics 8, 288–295 (2006).