Methods for Cell Analysis (MCA Autumn 2020)
| Course number | 16,2 |
| Year | 2020 |
| Type | Methodcourse |
| Track | - |
| Max participants | 12 |
| Application deadline | 2020-09-01 |
| Language | En |
| Course leader | Matyas Molnar |
| Department | Department of Immunology, Genetics and Pathology |
| Visiting address | BioVis Platform@ Rudbeck Lab, Dag Hammarskjölds väg 20 |
| Post address | Rudbeck Laboratory, SE-751 85 Uppsala |
| Dates | 7-16 October 2020 |
| Location | BioVis Platform @ Rudbeck, Dag Hammarskjölds väg 20 , |
| Course length | 8 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 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
Contents
Instructions
The course is preceeding the BioVis Course "Introduction to Image Analysis Software" http://www.biovis.medfarm.uu.se/education/image-analysis/
Examination
Literature
A folder or USB stick with course literature is given out by BioVis.
Teaching staff
Matyas Molnar, Dirk Pacholsky, Jeremy Adler, Monika Hodik, Karin Staxäng
More information
Matyas Molnar
Biovis Platform, Uppsala University
Dag Hammarskjölds väg 20
Rudbeck Lab
751 85 Uppsala
matyas.molnar@igp.uu.se
070-167 93 38