Dates: 24-28 July 2023 (5 full days)
Location: Montreal, Canada
Venue: Advanced BioImaging Facility at McGill University
Train the Trainer event overview
Montreal Light Microscopy Course (MLMC) Fundamentals - Train the Trainer course is jointly organized by Global BioImaging, Canada BioImaging, the bioimaging network in Canada, and BioImaging North America.
This course is designed in the format of "train the trainers" and is aimed at imaging scientists who plan to run courses on fundamental topics in light microscopy for their own imaging communities.
It is not a microscopy course but a course to train imaging scientists how to run their courses and user training. The course will be taught in a way to provide participants with suggested content for each topic, annotated lecture slides, hands-on laboratory activities, trainer guides and a information for course organization and logistics. Topics will be presented as modules and the course faculty and participants will have dynamic discussions including ways to add to and share module content and continuously improve what can be offered.
Participants will be encouraged to prepare and present a poster describing their imaging platform during the course.
This course is limited to 24 places and will take place in-person only.
- Transmitted light microscopy techniques
- Fluorescence imaging
- Multidimensional imaging
- Quantitative imaging
- Making Figures for Publication
- Live imaging
- Course organization and logistics
- Engaging with corporate partners
Speakers and instructors
- Adan Guerrero (Instituto de Biotecnología, Universidad Nacional Autónoma de México)
- Alison North (Rockefeller University, USA)
- Caron Jacobs (University of Cape Town, South Africa)
- Claire M. Brown (McGill University, Canada)
- Joel Ryan (McGill University, Canada)
- Nelly Vuillemin (McGill University, Canada)
- Philip Kesner (McGill University, Canada)
- Sabine Mai (University of Manitoba, Canada)
- Thomas Stroh (Montreal Neurological Institute-Hospital, Canada)
- Youssef Chebli (McGill University, Canada)
This event will take place in-person at McGill University. The possibility to join remotely will not be provided.
Prerequisites for course application
- This course is open to imaging scientists (imaging facility managers/staff, service providers) who are regularly involved in teaching
- This course is open to industry imaging scientists who are regularly involved in teaching
The registration fee is 550 Canadian Dollar (CAD).
Please consult the following webpage for visa requirements to enter Canada:
If you do require a visa to enter Canada, please apply for a visa on the following webpage:
Successful applicants are responsible for acquiring their own visa. Please also check if you need a transit visa in case your flight has transfer(s) at international airport(s).
Please complete the application form at the following link: https://www.surveymonkey.com/r/CBI-GBI-2023-course
Application deadline: 5 July 2023
Applications will be reviewed on first come, first served basis.
Global BioImaging is providing a number of travel grants for successful applicants who do not have institutional travel support to attend this course.
Applications for travel grants are invited by eligible persons (see prerequisites above).
Number of travel grants provided for this course: 6 travel grants. Eligible cost items include the following: travel costs (air travel, public transportation), accommodation costs (hotel, guesthouse, etc.) and visa application fees.
To apply for a travel grant, please visit the following webpage and complete a travel grant application form: https://globalbioimaging.org/international-training-courses/travel-grants-cbi-gbi-2023-course
Travel grant application deadline: 13 April 2023
Review of travel grant applications will take place after 13h of April by a selection committee consisting of one member of the Global BioImaging team and one member of the Canada BioImaging team.
For US-based applicants: please note that we cannot provide travel grants to individuals based in US due to funding constraints.