Microscopy & Flow Data Analysis

6 EC

Semester 1, period 2

5234MFDA6Y

Owner Master Biomedical Sciences
Coordinator D.I. Picavet
Part of Master Biomedical Sciences, track Oncology, Master Biomedical Sciences, track Cognitive Neurobiology and Clinical Neurophysiology, Master Biomedical Sciences, track Psychopharmacology and Pathophysiology, Master Biomedical Sciences, track Infection and Immunity, Master Biomedical Sciences, track Cell Biology and Advanced Microscopy, Master Biomedical Sciences, track Experimental Internal Medicine, Master Biomedical Sciences, track Molecular Neurosciences, Master Biomedical Sciences, track Physiology of Synapses and Networks, Master Biomedical Sciences, track Developmental and Therapeutic Biology, Master Biomedical Sciences, track Medical Biochemistry and Biotechnology, Master Biomedical Sciences, track Cardiovascular Sciences, year 1

Course manual 2024/2025

Course content

Elective flow cytometry and microscopy data analysis

 

Microscopy and flow cytometry are key technologies in most research projects, and require training in usage as well as data analysis. During your internships and beyond you will be trained by core facility staff to use these instruments, but ideally you already have insights in the techniques and especially the data analysis options. During this elective you will see key instruments and techniques, and especially work hands-on on data sets and different data analysis programs.

 

Objectives

  • The student is able to explain the basic principles behind the imaging & flow techniques, their applications and limitations.
  • The student is able to design new experiments to answer biomedical questions using imaging & flow techniques.
  • The student is able to compare and select scientific technologies for specific applications, analyse and interpret data using common data analysis tools.
  • The student is able to clearly present scientific data and present the data in written and visual reports.
  • The student is able to collaborate with peers.

Teaching methods

  • Lecture
  • Seminar
  • Laptop seminar
  • Computer lab session/practical training
  • Self-study
  • Supervision/feedback meeting
  • Working independently on e.g. a project or thesis

Learning activities

Activity

Hours

Hoorcollege

39.75

Vragenuur

12

Werkcollege

6

Self study

110.25

Total

168

(6 EC x 28 uur)

Attendance

Requirements of the programme concerning attendance (OER-B):

  1. Attendance during practical components exercises is mandatory.

Assessment

Item and weight Details

Final grade

0%

Assignments

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

WeeknummerOnderwerpenStudiestof
1
2
3
4
5
6
7
8

Contact information

Coordinator

  • prof. dr. Eric Reits