AI Microscopy Symposium

6th Edition
Online | July 2021
8 - 10:30 AM Pacific | 11 AM - 1:30 PM Eastern | 4 - 6:30 PM London

Machine and deep learning (ML / DL) technologies already play a major role in our everyday life - think Alexa, Tesla's Autopilot, nearly all the "recommendation" systems that power spotify, amazon or youtube to name a few examples. 


In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image classification, segmentation, restoration, super resolution and virtual staining.


The AI Microscopy Symposium, offers an unique forum for presenting and discussing the latest AI-based technologies and tools in the field of microscopy and biomedical imaging. Additionally, the symposium highlights scientific breakthroughs which are enabled by ML or DL technologies. 

You can watch the presentations from the previous symposia here.

Co-hosted by



8:00 - 8:15
8:15 - 8:55
8:55 - 9:35
9:35 - 10:15
Virginie Uhlmann

Quantifying biological shape across imaging modalities

Jiji Chen

Deep learning to denoise and sharpen fluorescence microscopy image volumes

Theo Knijnenburg

A deep generative model of 3D single-cell organization

10:15 - 10:30
All times listed are in Pacific Daylight Time
Schedule may change

Book your interest

Please enter your name

Please enter your organization / affiliation

Please enter a valid email address


Please select an option

What applications are you interested in? Check all that apply. (required)

Please select at least one application

What kinds of microscopy systems do you use? Check all that apply. (required)

Please select at least one option

You must agree to the privacy policy to continue

I'm a paragraph. Click here to add your own text and edit me. It's easy.

Thank you for your interests. Registration for the AI Microscopy Symposium is now closed. Please check back later for a recording of the webinar and to learn more about the next edition of the event.