Course detail
Imaging Method Practice in Biomedicine
FEKT-MPA-ZBMAcad. year: 2024/2025
The course is aimed at deepening theoretical knowledge and practical skills in selected imaging methods. In particular, emphasis is placed on optical imaging, focusing on the study of camera properties and their applications.
1. Measurement of selected parameters of scientific and industrial cameras (comparison of CCD/CMOS technology, binning, subsampling, gain, noise measurement in darkness, rolling/global shutter).
2. Measurement of the flow of a medium through a capillary using contrast laser speckle imaging (influence of acquisition parameters on the quality and accuracy of flow rate estimation).
3. Matlab and real-time deep learning applications.4. Measurement of contrast transfer function of imaging system.
5. Measurements using standard cameras, stereoscopy, stereo video sequence recording, estimation of calibration matrices.6. Spectral camera, principle, image acquisition and processing.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Offered to foreign students
Entry knowledge
Rules for evaluation and completion of the course
A maximum of 46 points can be obtained from the credit test. A minimum of 50% of the points from both of these activities is required for successful completion of the course.
Aims
Study aids
Prerequisites and corequisites
Basic literature
Lichtman, J. W., Conchello J.A. Fluorescence Microscopy, Nature Methods, 2(12), pp. 910-919, 2005
Recommended reading
Elearning
Classification of course in study plans
- Programme MPC-BTB Master's 2 year of study, summer semester, compulsory-optional
Type of course unit
Exercise in computer lab
Teacher / Lecturer
Syllabus
1. Measurement of selected parameters of the CCD camera.
2. Measurement of the flow rate using changes in the contrast of the laser speckle noise.
3. CNN design in Matlab and its application on Rapsberry Pi platform.
4. Measurement of contrast transfer function of the imaging system.
5. Stereoscopic imaging and disparity map reconstruction.
6. Spectral camera measurements and image reconstruction.
Elearning