Course detail

Imaging Method Practice in Biomedicine

FEKT-MPC-ZBMAcad. year: 2021/2022

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 the properties of scientific and industrial cameras and their applications.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. Measurement of selected parameters of scientific and industrial cameras (noise and sensitivity measurement, rolling/global shutter properties).

2. Measurement of medium flow rate through a capillary using laser speckle contrast imaging (influence of acquisition parameters on the quality and accuracy of flow rate estimation).

3. Matlab environment and real-time deep learning applications.

4. Measurement optical system MTF.

5. Measurements using standard cameras, stereoscopy, recording of stereo video sequences, estimation of calibration matrices.

6. Industrial cameras and their applications for machine learning and real-time tasks (Python, OpenCV).


Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Holst, G.C., Lomhein, T.C. CMOS/CCD Sensors and Camera Systems, SPIE Press Book, 2011 (CS)
Lichtman, J. W., Conchello J.A. Fluorescence Microscopy, Nature Methods, 2(12), pp. 910-919, 2005 (CS)

Recommended reading

Not applicable.

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

26 hod., optionally

Teacher / Lecturer

Elearning