SubjectsSubjects(version: 901)
Course, academic year 2022/2023
  
Biological imaging and image analysis - MB151P114E
Title: Biological imaging and image analysis
Czech title: Biologické zobrazování a analýza obrazu
Guaranteed by: Department of Cell Biology (31-151)
Faculty: Faculty of Science
Actual: from 2022
Semester: summer
E-Credits: 6
Examination process: summer s.:combined
Hours per week, examination: summer s.:1/1 Ex [weeks/semester]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Note: enabled for web enrollment
Guarantor: Mgr. Pavel Tomančák, Ph.D.
Opinion survey results   Examination dates   Schedule   
Annotation -
Last update: RNDr. Nataša Šebková, Ph.D. (24.10.2019)
Most of the primary data in biology comes from microscopic images. To obtain meaningful information from microscopic data, it is necessary to use computational tools both to eliminate noise and subjective errors, and because of the amount and availability of microscopic data, which does not allow manual inspection and requires the creation of automatic data analysis processes.
Literature -
Last update: RNDr. Nataša Šebková, Ph.D. (24.10.2019)

James Pawley "Handbook of Biological Confocal Microscopy" Springer Verlag, ISBN 978-0-387-45524-2

Spencer Shorte and Friedrich Frischknecht "Imaging Cellular and Molecular Biological Functions" Springer Verlag, ISBN 978-3-540-71331-9

Special issue of Nature Methods "Focus on Bioimage Informatics"

http://www.nature.com/nmeth/focus/bioimageinformatics/index.html

ImageJ User Guide http://imagej.nih.gov/ij/docs/guide/user-guide.pdf

Requirements to the exam -
Last update: RNDr. Nataša Šebková, Ph.D. (24.10.2019)

The theoretical and practical knowledge acquired in the course will be tested.

Syllabus -
Last update: RNDr. Nataša Šebková, Ph.D. (24.10.2019)

In this course, students will first learn the theoretical and practical aspects of a wide range of experimental microscopic techniques and the whole microscopic process - from microscope preparation, microscope and software integration, sample preparation, imaging and subsequent image analysis. In the second part, basic and moderately advanced image analysis techniques will be presented and students will solve real biological problems using open source software such as Fiji. As a result, students will gain a comprehensive picture of microscopic image analysis, and perhaps some will be enthusiastic about this promising area so much that they decide to do so in their scientific career.

Entry requirements -
Last update: RNDr. Nataša Šebková, Ph.D. (24.10.2019)

This course is taught in English.

 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html