NIH.AI microscopy workshop
NIH Campus and online | Jan 30 - 31, 2020

This workshop is a two-day event focused on artificial intelligence-guided techniques to microscopy. The first day features talks on fluorescence image restoration and denoising from leading scientists and technologists. The second day focuses on practical, hands-on application of machine learning techniques to image analysis using Aivia.

Schedule and agenda

Thursday, January 30, 2020
NIH Campus, Building 35, Room GG 607, and online (WebEx)

Topic: Fluorescence image restoration and denoising, a biologist's view

Register to join the Jan 30 talks online: 

https://cbiit.webex.com/cbiit/onstage/g.php?MTID=ebff383f6deffa83f13cffd1013d509a1

Friday, January 31, 2020
NIH Campus, Building 35A, Room GD 913, and online (WebEx)

Topic: Machine learning image analysis: a practical hands on tutorial using Aivia

*Submit your images in advance for the image analysis clinic: 

https://www.dropbox.com/request/w2R8nNO8qaeH12Pexyj8

Register to join the Jan 31 workshop online:

https://cbiit.webex.com/cbiit/onstage/g.php?MTID=e4b9ffa1474b092d28941050771c0aa82​

1:00 - 1:10 pm

1:10 - 1:50 pm

1:50 - 2:30 pm

2:30 - 2:50 pm

2:50 - 3:30 pm

3:30 - 4:00 pm

Introductions

Matt Guay, Postdoctoral Fellow, NIH/NIBIB - [Biography]

An Introduction to Content-Aware Computation for Optical Microscopy

Luciano Lucas, Executive Vice President, DRVISION

Perils, Pitfalls and Progress in AI Microscopy

Break and discussion

Jiji Chen, Staff Scientist, NIH/NIBIB - [Biography]

Sharper, Longer and Gentler: Deep Learning for Fluorescence Imaging

Open discussion

9:30 - 10:30 am

10:30 - 11:30 am

11:30 am - 12:30 pm

12:30 - 1:30 pm

1:30 - 4:30 pm

Demo of Aivia (computer lab)

Presentation by Luciano Lucas

Image Analysis Clinic*

Lunch break

Image Analysis Clinic*