Bi4070 Image Analysis and Microphotography in Biology

Faculty of Science
autumn 2021
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
RNDr. Dušan Kadlec, Ph.D. (lecturer)
Mgr. Iveta Hodová, Ph.D. (assistant)
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: 0/60, only registered with preference (fields directly associated with the programme): 0/60
fields of study / plans the course is directly associated with
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
Study Materials
The course is taught annually.
The course is taught: in blocks.
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (autumn 2021, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2021/Bi4070