LFU:online

Die Studierenden können ihr spezialisiertes praktisches Wissen zur Anwendung von aktueller Software in der Bildanalyse (z. B. Segmentierung, Objekterkennung, Morphometrie) darlegen. Sie können Routinen zur automatisierten Analyse von mikroskopischen 2D-, 3D- und 4D-Bilddaten programmieren und entsprechende Ergebnisse von Bildanalysen interpretieren und schriftlich zusammenfassen.

Students will gain experience in solving image analysis tasks including

Identifying appropriate steps for meaningful image quantification

Designing an applicable workflow in open source analysis programs

Executing filtering, segmentation, object identification, and morphometrics on 2D and 3D images

Creating simple programming scripts to assist in performing analysis tasks

Practical course in solving image analysis problems. Tasks will include an independent project to solve a bioimaging problem, with interpretation and presentation of results.

Continuous assessment based on participation and project presentation, final written report.

Will be provided.

A preliminary meeting for elective modules will be held on October 5, 2026 at 2 pm in lecture hall B.

It is obligatory to attend and participate in all parts (VO, SE and UE) to complete the module.

Calendar week 45-49