NIH.AI Imaging Workshops
Thurs., Jan. 30, 2020, 1:00-4:00 p.m.
Topic: Fluorescence Image Restoration and Denoising, A Biologist's View
Location: NIH Campus, Building 35, Room GG607 and Webex
Matt Guay, Postdoctoral Fellow, NIH, National Institute of Biomedical Imaging and Bioengineering (NIBIB) Laboratory of Cellular Imaging and Macromolecular Biophysics, presented "An Introduction to Content-Aware Computation for Optical Microscopy."
Luciano Lucas, Ph.D., Executive Vice President, Product Management, Sales, and Aivia Development, DRVision, presented “Perils, Pitfalls and Progress in AI Microscopy."
Jiji Chen presented “Sharper, Longer and Gentler: Deep Learning for Fluorescence Imaging.”
- View the video. Dr. Chen's presentation begins at 02:07:48 and ends at 02:33:07.
Fri., Jan. 31, 2020, 9:30 a.m.-4:30 p.m.
Topic: Machine Learning Image Analysis: A Practical Hands-on Tutorial Using Aivia
Location: NIH Campus, Building 35A, Room GD913 and Webex
Presentations and demos conducted by Luciano Lucas, Ph.D.:
View the video, starting at 00:02:10.
- How to Train a Deep Learning Neural Network for Image Restoration
- Machine Learning Powered Image Restoration and Analysis – and an Introduction to Aivia.
- Additional Aivia Demos – How To: a) Apply Deep Learning Models, b) Test Restoration Accuracy, c) Detect Cells and Track their Movement in 2D and 3D Data Sets, d) Machine Learning Powered Image Segmentation, e) Handle Large (e.g. 1 TB) Data Sets (including the Visualization and Analysis of Light and Electron Microscopy Images), e) Trace Neurons.
- Image Analysis Clinic