The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383
Jun 15, 2020
Jianxu Chen, a scientist at the Allen Institute for Cell Science, shares insights on the transformative Allen Cell Explorer Toolkit. He delves into the challenges of merging machine learning with biology, emphasizing the need for interdisciplinary collaboration. The conversation highlights innovative methods for 3D segmentation of intracellular structures, the importance of GPU computing, and the fascinating role of autoencoders in enhancing microscopy data visualization. Listeners will discover how these advancements are revolutionizing cell image analysis!
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From Computer Science to Biology
- Jianxu Chen, initially a computer scientist, knew little about biology, not even the word "mitochondria".
- Now, he specializes in mitochondrial segmentation and analysis, highlighting his transition.
Bridging the Gap
- Bridge the gap between computer science and biology by iteratively consulting with biologists.
- Understand their perspectives on results, which often differ from a computer scientist's view.
Microscope Effects
- Biologists consider microscope effects, like blurring, when interpreting images, unlike computer scientists.
- A 10-pixel wide ball might actually be 5 pixels, demonstrating the importance of optical details.