#MicroscopyPopularization
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)
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.
#MicroscopyPopularization
#MicroscopyPopularization
Submissions open until 29 Oct 2024
27 September 2024 | Online
15 October 2024, 2-5 p.m. | Online
MSC IEM Core Facility | Prague and online
16 - 17 October 2024 | Prague
Deadline for applications: 15 October, 2024
26-27 September 2024 | Brno University of Technology, Brno