Deep Learning for Live-Cell Imaging with David Van Valen - TWiML Talk #141

This article summarizes a podcast episode featuring David Van Valen, a professor at Caltech, discussing his research on using deep learning for live-cell imaging. The focus is on automating the analysis of individual cells through image recognition and segmentation techniques. The discussion covers practical aspects of training deep neural networks for image analysis, including insights into which deep learning techniques have proven effective. The article highlights the practical application of AI in biological research and the challenges and successes encountered in this field. It also provides links to further information.

• •Deep learning is being used to automate cell analysis in live-cell imaging.
• •The podcast discusses practical aspects of training deep neural networks for image analysis.
• •The research explores the effectiveness of different deep learning techniques in a biological context.