Publication Beamlines Strategic Pillar
Wysokinski, T W; Chapman, D; Adams, G; Renier, M; Suortti, P et al. (2013). Beamlines of the Biomedical Imaging and Therapy Facility at the Canadian Light Source - Part 2. Journal of Physics: Conference Series 425(7) , 072013. 10.1088/1742-6596/425/7/072013. BMIT-BM, BMIT-ID Health
Linda Lin; Tomasz Wysokinski (2017). CLSI BMIT's Super-Conducting Wiggler Cryogenic Safety Improvements. . http://inspirehep.net/record/1649811/. BMIT-ID Materials
Dydula; Christopher; Belev; George; Johns et al. (2017). Accelerated x-ray scatter projection imaging using multiple continuously moving pencil beams. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. . , 101324J 10.1117/12.2253720. BMIT-ID Materials
Wysokinski; Tomasz W.; Chapman; L. Dean; Miller et al. (2016). 25+2 poles, 4.3 T wiggler at BMIT - 7 years operational experience. In AIP Conference Proceedings. . , 020026-1 – 020026-4 10.1063/1.4952805. BMIT-ID Materials
Bree; Michael; Miller; Denise; Kerr et al. (2016). Alignment and position visualization methods for the biomedical imaging and therapy (BMIT) MRT lift. In AIP Conference Proceeding. . , 030023-1 – 030023-4 10.1063/1.4952846. BMIT-ID Materials
Belev, G.; Miller, D.; Samadi, N.; Webb, M. A.; Wysokinski, T. W. et al. (2015). 4 Years of X-ray Imaging at 05B1-1 Beamline at BMIT. IFMBE Proceedings , 162-165. 10.1007/978-3-319-19387-8_39. BMIT-BM, BMIT-ID Materials
Miller, C Denise; Wysokinski, Tomasz W; Belev, George; Chapman, L Dean (2013). Human factors design for the BMIT biomedical beamlines. Journal of Physics: Conference Series 425(2) , 022005. 10.1088/1742-6596/425/2/022005. BMIT-BM, BMIT-ID Materials
Volmer, Judith; Koch, Iris K.; Göritz, Anja S. (2017). Corrigendum to ‘The bright and dark sides of leaders' Dark Triad traits: Effects on subordinates' career success and well-being’ [Personality and Individual Differences 101 (2016) 413–418]. Personality and Individual Differences 108, 226. 10.1016/j.paid.2016.12.027. CLS-APS
Dogan Paktunc, Michael C. Moncur, S. Jean Birks, John J. Gibson, Yi Yi (2015). Predicting the mobilization of dissolved metals, organics and gas Predicting the mobilization of dissolved metals, organics and gas Predicting the mobilization of dissolved metals, organics and gas Predicting the mobilization of dissolved metals, organics. Canada: Integrated Water Management, Alberta Innovates – Technology Futures, CANMET Mining and Mineral Scie . http://www.geoconvention.com/archives/2015/258_GC2015_Predicting_the_mobilization_of_dissolved_metals.pdf. CLS-APS
Pushie, M. Jake; Pickering, Ingrid J.; Korbas, Malgorzata; Hackett, Mark J.; George, Graham N. et al. (2014). Elemental and Chemically Specific X-ray Fluorescence Imaging of Biological Systems. Chemical Reviews 114(17) , 8499-8541. 10.1021/cr4007297. CLS-APS Agriculture
Korbas, Malgorzata; Lai, Barry; Vogt, Stefan; Gleber, Sophie-Charlotte; Karunakaran, Chithra et al. (2013). Methylmercury Targets Photoreceptor Outer Segments. ACS Chemical Biology 8(10) , 2256-2263. 10.1021/cb4004805. CLS-APS, SM Agriculture
Smeaton, Christina M.; Walshe, Gillian E.; Smith, Adrian M. L.; Hudson-Edwards, Karen A.; Dubbin, William E. et al. (2012). Simultaneous Release of Fe and As during the Reductive Dissolution of Pb–As Jarosite by Shewanella putrefaciens CN32. Environmental Science and Technology 46(23) , 12823-12831. 10.1021/es3021809. CLS-APS Environment
Franzblau, Rachel; Loick, Nadine; Weisener, Christopher (2014). Investigating the Effects of Se Solid Phase Substitution in Jarosite Minerals Influenced by Bacterial Reductive Dissolution. Minerals 4(1) , 17-36. 10.3390/min4010017. CLS-APS Environment
Clar, Justin G.; Li, Xuan; Impellitteri, Christopher A.; Bennett-Stamper, Christina; Luxton, Todd P. et al. (2016). Copper Nanoparticle Induced Cytotoxicity to Nitrifying Bacteria in Wastewater Treatment: A Mechanistic Copper Speciation Study by X-ray Absorption Spectroscopy. Environmental Science and Technology 50(17) , 9105-9113. 10.1021/acs.est.6b01910. CLS-APS Environment
Lastra, R.; Paktunc, D. (2016). An estimation of the variability in automated quantitative mineralogy measurements through inter-laboratory testing. Minerals Engineering 95, 138-145. 10.1016/j.mineng.2016.06.025. CLS-APS Environment