After clicking “Watch Now” you will be prompted to login or join.


Click “Watch Now” to login or join the NVIDIA Developer Program.


Deep Learning-Based Subcellular Phenotyping of Cell Edge Dynamics Reveals Fine-Grained Drug Responses

Kwonmoo Lee, Worcester Polytechnic Institute

GTC 2020

We'll highlight how unsupervised deep learning can reveal subcellular drug responses hidden in the heterogeneity in live cell images. We'll present a feature-learning method for time-series data, which combines long short-term memory autoencoder and the prior information from traditional machine-learning analysis. We'll discuss how feature learning can be used to identify drug-related rare phenotypes and accelerate drug discovery. You need to have basic knowledge about autoencoder, clustering, microscopy, and cell biology.

View More GTC 2020 Content