Biological Particle Identification and Tracking with Jay Newby

800 800 This Week in Machine Learning & AI

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.

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.

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About Jay

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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