Methods for Cell Analysis

 
16,1
2016
Method course
Spår
12
2017-01-31
English
Dirk Pacholsky
Department of Immunology, Genetics and Pathology
MTC-huset, Dag Hammarskjölds väg 14 B, BIOVIS Platform
Rudbeck Laboratory, SE-751 85 Uppsala
8-17 March 2017
SciLife Lab Biovis facility, Dag Hammarskjölds väg 14 B, 3rd floor
8 days
 

The Course Methods for Cell Analysis Course (MCA) is aimed at the postgraduate student, post-doc and even research engineer who wants to get an overview and in depth knowledge about the recent technologies on the field of Light Microscopy, Flow Cytometry and Electron Microscopy. The course is based on a lecture series and practical hands on sessions. Lectures will cover e.g. theory (and practical know-how) about Fluorescence, its application in various light microscopy techniques as well as Flow Cytometry and Image Analysis. Electron microscopy and latest technical achievements like Super Resolution- and Lightsheet microscopy are covered as well. The Practical hands-on sessions part include resources found at BioVis : Laser Scanning and 2 Photon microscopy (incl. Spectral Imaging and Second Harmonic Generation Imaging), Lightsheet microscopy, Flow Cytometry and Cell Sorting, Image Flow Cytometry, Image analysis with Cell Profiler and IMARIS. For more details see schedule found at http://www.biovis.uu.se/education/methods-for-cell-analysis/
Our requirements have changed to an attendance of 100% including an presentation at the end of the course. Absence others than health reasons (e.g. lab meetings) results in charge of 1000 SEK.

Points will be granted at 100% attendance including a passed presentation.

The course will be run twice a year, spring (2016/04/ 20 – 29) and autumn (2016/10/ 05 – 14) and is preceding the BioVis Course "Introduction to Image Analysis Software" http://www.biovis.medfarm.uu.se/education/image-analysis/ which focuses more on Image Analysis.

Please see course description.

Please see course description.

The course is preceeding the BioVis Course "Introduction to Image Analysis Software" http://www.biovis.medfarm.uu.se/education/image-analysis/

Please see course description.

Course folder

Dirk Pacholsky, Sara Petersson, Màtyàs Molnàr, Jeremy Adler, Carolina Wahlby, Hans Blom

Dirk Pacholsky
SciLife Lab Biovis Platform,
Dag Hammarskjölds väg 14 B, 3rd floor,
751 85 Uppsala
Dirk.Pacholsky@scilifelab.uu.se
070-167 93 38

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