The VAST Trainee Committee has planned a biweekly online Journal Club specific to VCI (alternating between VCI related papers, and research methods). This is an exciting opportunity to learn more about research within the VCI field and to network with other trainees doing interdisciplinary research throughout Canada (and beyond). All trainees (undergrads, mscs, phds, pdfs, clinical fellows, med students) are invited to present, and both trainees and PIs are invited to participate and provide feedback.

The third session is on Monday March 27th, at 3pm EST / 1pm MST / 12pm PST / 4pm AST.

Ahmadreza Attarpour, PhD student in Medical Biophysics at the University of Toronto, will be presenting "A deep learning algorithm for 3D cell detection in whole mouse brain image datasets".

In this paper, they developed CellFinder, a deep learning (DL)-based and open-source AI tool to detect cells/neurons in whole-brain microscopy images. Ahmadreza's first aim of his PhD thesis is focused on developing a DL-based model for segmenting neuronal cell bodies, and will present how he has applied this algorithm to his own dataset. The authors made Cellfinder open source and easy to implement with very good documentation found here:

https://github.com/brainglobe/cellfinder

We encourage all trainees to sign up for a session (1-2 trainees per session depending on format). This will be a low stakes learning and networking opportunity.

RISE module with recordings and more info: https://my.riselms.ca/course/view.php?id=252