Dear Czech-BioImaging users,

if  you wish to analyze your microscopy image data efficiently using techniques of artificial intelligence, you are invited to the practical course AI-BASED SEGMENTATION AND TRACKING.

This intensive 1-day course takes place on May 14, 2024, at the Light Microscopy Core Facility, Institute of Molecular Genetics of the Czech Academy of Sciences, and focuses intensively on image data segmentation and cell tracking using state-of-the-art deep learning methods.

Registration deadline: April 30, 2024 (23:59 CET)

REGISTER

Here’s what you can expect:

This one-day course focuses intensively on image data segmentation and cell tracking using state-of-the-art deep learning methods like StarDist, Cellpose, Omnipose, and MitoSegNet. It demonstrates how segmentation aids in analyzing image-based objects and how tracking applies segmentation to study cells dynamically over time. TrackMate, a plugin in Fiji, integrates StarDist and Cellpose for cell segmentation and tracking. The course also covers the Delta2 framework for tracking dense bacteria populations and explores ZeroCostDL4Mic, a cloud computing framework with advanced deep learning methods for microscopy tasks like segmentation, object detection, and denoising. The course aims to highlight the practicality and user-friendly nature of these deep learning techniques.

Also, a sponsor’s lecture on Apeer.com, Zeiss’s cloud platform, will focus on image processing, including machine and deep learning. At the course’s end, participants can actively practice segmentation and cell measurement using a virtual reality system from the same company.

COURSE WEBSITE

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