Introduction to Image Analysis Software (IAS) 2024 October, 1.5 hp


Kursnummer14,1
År2024
TypMethodcourse
Spår-
Max antal deltagare9
Sista ansökningsdag2024-10-01
SpråkEn
KursansvarigJeremy Adler
InstitutionDepartment of Immunology, Genetics and Pathology
Besöksadress Dag Hammarskjölds väg 20
PostadressRudbeck Laboratory, SE-751 85 Uppsala
DatumOctober: 17,18 & 22,23,24
LokalRita Levi Montalcini room, RudbeckLab
Kurslängd5 days , 0930-1700
Kursrapport 
KursplanKursplan 

 

Beskrivning

Acquiring images is not the final step - need measurements.

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, finding and solving problems.

At the end of the course students will create an image analysis sequence to 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 student will present a project to the class; describing the 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
070-1679349

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