Dear Dr. <<Last Name>>,
I trust that you have been well and hope that we will see you at the upcoming World Molecular Imaging Conference , September 4-7 in Montreal.
I am happy to let you know that I will continue my annual tradition of delivering a Scientific Highlights Lecture and announcement of the 2019 MILabs Image of the Year this year at the MILabs Scientific Lunch EventWednesday, September 4th, from 12:30 – 13:30 in the Convention Center on the 7th floor outside plenary hall.
This lecture will consist of cutting-edge selected imaging research from world-wide users of MILabs preclinical imaging systems. I am requesting your assistance at this time to submit your works (please no later than Saturday, August 17th) for the Highlights Lecture.
Contributions should originate from accepted abstracts or journal papers with images generated on your MILabs system in the years 2018-2019. Please note that we will select the 2019 MILabs Image of the Year from the timely submitted contributions. Would you please send a few PowerPoint slides to be included in the presentation? For consistency I am requesting the following short series of slides:
· Slide 1: Title, authors, institute (logos), Introduction + Aim of the study
· Slide 2, 3 & 4: Methods, Results and Conclusion
Could you please use the attached template? Please send your slides directly to [email protected] with subject HighLight Lecture Image.
I thank you very much for your support and hope that we can include data from your research at the MILabs WMIC Scientific Lunch.
Thanks in advance,
Last year’s winners
In 2018, we had two winners:
The In Vivo Biodistribution of Radiolabeled Acoustic Protein Nanostructures by ohann Le Floc’h, Aimen Zlitni, Holly A. Bilton, Melissa Yin, Arash Farhadi, Nancy R. Janzen, Mikhail G. Shapiro, John F. Valliant, and F. Stuart Foster.
And the inflammation imaging of Lethal Dengue Virus (DENV) Infection, by Ann-Marie Chacko, Satoru Watanabe, Keira J. Herr, Shirin Kalimuddin, Jing Yang Tham, Joanne Ong, Marie Reolo, Raymond M.F. Serrano, Yin Bun Cheung, Jenny G.H. Low, and Subhash G. Vasudevan.
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