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Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
44 minutes
Released:
Jun 15, 2020
Format:
Podcast episode

Description

Today we’re joined by Jianxu Chen, a scientist in the Assay Development group at the Allen Institute for Cell Science.  At the latest GTC conference, Jianxu presented his work on the Allen Cell Explorer Toolkit, an open-source project that allows users to do 3D segmentation of intracellular structures in fluorescence microscope images at high resolutions, making the images more accessible for data analysis.  In our conversation, we discuss three of the major components of the toolkit: the cell image analyzer, the image generator, and the image visualizer. We also explore Jianxu’s transition from computer science into computational biology. More broadly, we cover how the use of GPUs has fundamentally changed this research, and the goals his team had in mind when they began the project. Check out the complete show notes at twimlai.com/talk/383.
Released:
Jun 15, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.