Department of Industrial Engineering

Seminar / Workshop

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Studenti e studentesse al pc seguono un seminario

Beyond the microscope: quantitative image analysis with ImageJ and Matlab

Seminar
20 July 2026 - 21 July 2026, start time 9:00 - 16:00
Online
Reservation required
Organizer: Department of Industrial Engineering
Target audience: University community
Referent: Eugenia Spessot – eugenia.spessot@unitn.it
Contacts: 
Staff of the Department of Industrial Engineering
Image
Studenti e studentesse al pc seguono un seminario
Speaker: Eugenia Spessot - Department of Industrial Engineering

This course introduces the fundamentals of quantitative microscopy, focusing on the image processing and the principles of materials characterization.

Participants will gain hands-on experience in obtaining reproducible data from microscopy images using ImageJ e MATLAB. Topics include image artifact correction, automated segmentation, porosity and size distribution, nanoparticle tracking, and geometrical analysis.

The course also presents practical examples in microstructure analysis and quality control of 3D printed structures, demonstrating how quantitative image analysis can be applied to quality control, manufacturing optimization, and advanced materials development.

The course will be held in both English and Italian.

Schedule

9:00 – 11:00 / 14:00 – 16:00

Speaker

Eugenia Spessot, Researcher of the Department of Industrial Engineering of the University of Trento.

How to participate

Please check the registration deadlines for each seminar at the dedicated link.

You will receive the Zoom link by email in the days preceding each seminar.

Credits

To obtain 1 ECTS/CFU Type F credit (Other Activities), students are required to attend and pass the final assessment for 2 seminars.

Students who attended previous editions of the seminar series will receive credits only for seminars different from those previously attended.

Attendance at 4 seminars and successful completion of the related final assessments may allow students to obtain 2 ECTS/CFU credit.