Methods for Cell Analysis (MCA Autumn 19)


Course number16,2
Year2019
TypeMethodcourse
Track-
Max participants12
Application deadline2019-09-11
LanguageEn
Course leaderDirk Pacholsky
DepartmentDepartment of Immunology, Genetics and Pathology
Visiting addressBioVis Platform@ Rudbeck Lab, Dag Hammarskjölds väg 20
Post addressRudbeck Laboratory, SE-751 85 Uppsala
Dates16-25 October 2019
LocationSciLife Lab Biovis facility, Dag Hammarskjölds väg 14 B, 3rd floor
Course length8 days, 0930(0900)-1630
Course report 
Course plan 

 

Description

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 . 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 and autumn.

Learning outcomes

Please see course description.

Contents

Please see course description.

Instructions

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

Examination

Please see course description.

Literature

Course folder.

Teaching staff

Dirk Pacholsky, Mátyás Molnár, Jeremy Adler, Anna Klemm, Hans Blom, Monika Hodik, Karin Staxäng

More information

Dirk Pacholsky
Biovis Platform, Uppsala University
Dag Hammarskjölds väg 20
Rudbeck Lab
751 85 Uppsala
Dirk.Pacholsky@igp.uu.se
070-167 93 38

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