CPI Academy Workshops | Registration Desk
Please register online for the workshops on the corresponding workshop page.
IMPORTANT: If you cannot attend, please unregister 48 hours prior to the event - you will be blacklisted if you do not attend a workshop for which you have registered! The workshops are exclusive to CPI Academy members.
If you have any questions, please contact Dr. Claudia Koch.
From Pixels to Patterns: Applying Machine Learning Tools for Advanced Image Analysis
Detailed workinar content overview:
- Installation of different Software with pre-workshop video guide
- Hands-on Guided Exercises in Microscopic Image Analysis
- Key Concepts, Benefits and Limitations of ML in Image Analysis
- Training Pixel Classifiers for Precise Object Extraction
- Applying pre-trained Deep Learning (DL) Models to Images
- Deep Learning-Model improvement by human-in-the-loop re-training for Non-Experts
- Simple customized Model Training via user interface-based software for situations where pre-trained models fail.
- Classifying Objects Using Decision Trees for targeted Analysis
- Integrating Fiji (an ImageJ bundle) as Hub for Multiple Software Tools
- Connecting different Tools via Fiji for Streamlined Workflows
All methods are learned hands-on with plenty of practical exercises to get confidence in applying them in your daily work.
Category:
GSP / Data Analysis / Hard Skills
Venue:
The workshop will be held as a virtual live event via Zoom. Login information and preparation instructions will be send in advance.
Duration:
2 days, each day 9:00 ~ 15:30 (max, mostly 15:00 but plan some buffer time)
Prerequisite:
Prior participation in the BioVoxxel Workshop – “Basic Microscopic Image Processing and Analysis” is MANDATORY o be able to follow the complete content of this workshop. Participation without prior basic course attendance can only be permitted in exceptional cases in agreement with the trainer and a sound prior knowledge of image processing techniques and ImageJ.
Main Target Group:
- Life or Natural Scientists starting PhD- or PostDoc-level
- Some practical imaging and image analysis experience is an advantage.
The course focuses on the practical application of existing software on microscopic images! It is not meant for computer scientists, since no computational or programmatic background will be discussed in-depth.
Difficulty Level:
The difficulty level is advanced but even with little prior practical experience it should be possible to follow the step by step procedures and explanation of the necessary background to the individual methods.
Software:
During the course we will work with a customized version of Fiji (ImageJ bundle). In addition, we will need to install additional software, also Python based software via the command line.
Registered participants will receive all information regarding software preparation on time before the workshop via email.