Introduction to Digital BioImage Analysis – 4^th edition
 

26 September – 30 September 2022 | 9:30-17:30 | ONLINE COURSE

With the advent of the digital era, nowadays images are multidimensional numerical data that can be processed and analyzed quantitatively to extract more information. With this course, we intend to give a general introduction to ImageJ/Fiji (imagej.net/), and show how to use it to extract quantitative data. Also, the design of typical workflows to automate image analysis will be addressed.
 Additionally, extra advanced topics will be available with scripting with macro language and image analysis with deep learning tools. 
This course will be focused on the analysis of light microscopy images but is targeted at all people engaged in research.

Target audience: All the scientific community with an interest in the analysis of light microscopy images.

Course duration: Core: Introduction to digital BioImage Analysis (3 days - 20h); Module A: Batch processing: intro to macro language in Fiji (1 day - 6h); Module B: Deep learning tools (1 day - 6h); Full course (5 days - 32h)

Course language: English 

Requirements: Laptop with ImageJ/Fiji installed. No previous experience in the analysis of light microscopy images is required.

Certificate: The attendees must attend a minimum of 80% of the total duration selected in the registration form. 

Course Organizer: Paula Sampaio, Advanced Light Microscopy, i3S

Poster >> 
 

Intro to Digital Image Analysis
Workflow of image analysis
Advanced ImageJ Plugins
Batch processing: introduction to macro language
Deep learning tools on image analyses

Paula Sampaio, Advanced Light Microscopy, i3S

Others (to be confirmed)

The registration fee includes access to the course, course material, and certificate.
Limited number of participants: 20

Fees:

Pre-registration form >>

Please note that your pre-registration does not confirm that you have been selected for the course.
Payment will be requested only after confirmation of acceptance. Details for payment will be sent in the confirmation registration e-mail.
The organizer reserves the right to cancel the course in case of an insufficient number of participants or other unforeseeable events that render the execution of the course.
 

More Information:
Advanced Training Unit | E-mail: training@i3s.up.pt | Tel: +351 220 408 800