In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta.
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Jay joins us to discuss his work applying deep learning to biology, including his paper “Deep neural networks automate detection for tracking of submicron scale particles in 2D and 3D.” In our conversation, Jay gives us an overview of particle tracking and a look at how he combines neural networks with physics-based particle filter models. We also touch on some of the unique challenges to working at the micron level in biology, how he evaluated the success of his experiments, and the next steps for his research.
TWIML Online Meetup Update!
A few meetup related announcements:
- Our next TWIML Online Meetup is coming up on September 19th, and will feature David Clement presenting the paper “DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills.” This should be a fun one and I encourage you to join us.
Our second session of the Fast.ai study group is starting soon. If you have some coding experience and would like to learn state of the art deep learning, this is a great way to do it.
Join both of these great groups by signing up at twimlai.com/meetup!
Mentioned in the Interview
- Paper: Deep neural networks automate detection for tracking of submicron scale particles in 2D and 3D
- AI Tracker
- Talk #141 – Deep Learning for Live-Cell Imaging with David Van Valen
- Atlas Toolkit
- TWIML Presents: Series page
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0