PřF:Bi4070 Image Analysis - Course Information
Bi4070 Image Analysis and Microphotography in Biology
Faculty of ScienceAutumn 2024
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Iveta Hodová, Ph.D. (lecturer)
RNDr. Dušan Kadlec, Ph.D. (lecturer) - Guaranteed by
- Mgr. Iveta Hodová, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: RNDr. Dušan Kadlec, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 60 student(s).
Current registration and enrolment status: enrolled: 0/60, only registered: 14/60, only registered with preference (fields directly associated with the programme): 5/60 - fields of study / plans the course is directly associated with
- Medical Genetics and Molecular Diagnostics (programme PřF, B-BI)
- Medical Genetics and Molecular Diagnostics (programme PřF, B-LGM)
- Zoology (programme PřF, N-ZOL)
- Course objectives
- The main objectives of this subject can be summarized as follows:
to gives information about acquiring of images, documentation and image analysis in biology; to extend basic knowledge of microscopic methods (bright field and fluorescence microscopy; to learn the principles of manual and automatic measurements and evaluation of image data in biology.
The lecture is oriented to applications - mathematical knowledge is not required. - Learning outcomes
- At the end of the course students should be able to use information about acquiring of images, documentation and image analysis in biology; to extend basic knowledge of microscopic methods (bright field and fluorescence microscopy; to learn the principles of manual and automatic measurements and evaluation of image data in biology.
- Syllabus
- Recent devices for documentation of image, TV and digital cameras, digitalization of signal.
- Grabbing and storage of image data, basic methods of manual and automatic measurement of biological objects, annotation.
- Preprocessing, enhancement and segmentation of image, binary editor. Classification of objects.
- Use of image analysis in pathology, toxicology (Comet Assay) and cytogenetics (fluorescence in situ hybridization, comparative genomic hybridization, karyotyping of chromosomes).
- Literature
- PURVES, Dale and R.BEAU LOTTO. Why we see what we do: An Empirical Theory of Vision. Sinauer Associates, Inc., 2003, 260 pp. ISBN 0-87893-752-8. info
- Teaching methods
- Theoretical lectures, practice presentation, class discussion
- Assessment methods
- lectures (attendance is recommended), class discussion, optional excursion at expert labs, final test
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: in blocks.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2024/Bi4070