Introduction to Image Analysis Software (IAS) 2024 December, 1.5 hp
| Kursnummer | 14,2 |
| År | 2024 |
| Typ | Methodcourse |
| Spår | - |
| Max antal deltagare | 8 |
| Sista ansökningsdag | 2024-11-09 |
| Språk | En |
| Kursansvarig | Jeremy Adler |
| Institution | Department of Immunology, Genetics and Pathology |
| Besöksadress | Dag Hammarskjölds väg 20 |
| Postadress | Rudbeck Laboratory, SE-751 85 Uppsala |
| Datum | December: 10,11,13,17,18,19 |
| Lokal | Rita Levi Montalcini room, RudbeckLab |
| Kurslängd | 6days: 4 days 9am-4.30pm & 2 days 10am-3pm |
| Kursrapport | |
| Kursplan |
Beskrivning
For students who need to make measurements from images.
The aim is to discover the power of image analysis and become proficient in using the Fiji version of ImageJ and Cell Profile – both open source.
The course is highly interactive, learning about image analysis and the specifics of the software by working with images and answering questions.
At the end of the course students will create an image analysis sequence to automatically address a problem relevant to their own work.
No prior experience of image analysis or software is necessary.
Inlärningsmål
To understand the potential of image analysis, the language used and appreciate the practical problems.
Students will be able to use standard software to automatically analyze images and understand the importance of acquiring images of the quality required for the analysis.
Innehåll
Learn about image analysis with an in depth examination of ImageJ and workflows using ImageJ macros.
Other popular/useful software will be introduced:
Huygens to improve resolution
Cell Profiler to create pipelines for automated analysis of cells
QuPath to quantify the very large datasets generated by slide scanners.
Undervisning
The course is restricted to 9 applicants.
Applications will be assessed 1 month before the start of the course and applicants notified.
Examination
To receive the 1.5hp all sessions must be attended.
At the end of the course each group of students will present a project to the class; describing a image analysis problem and demonstrating their solution.
Litteratur
Works sheets, copies of all presentations and test images will be provided at the start of the course
Lärare
Lecturer:
Jeremy Adler (BioVis)
Anna Klemm (SciLifeLab BioImage Informatics Facility)
Kontakt
Jeremy Adler
BioVis Platform, Uppsala University
Dag Hammarskjölds väg 20,
Rudbeck Lab
SE-751 85 Uppsala, Sweden
jeremy.adler@igp.uu.se
07390 188170