91ÊÓƵ

Courses

EG 620 / IDL 620: Biomedical Instrumentation, Imaging, and Modeling

Fundamental concepts of medical instrumentation, biomedical imaging and biological systems modeling as used in biomedical engineering.

Course Objectives:  The student will be able to: 

1. Select an appropriate sensor to measure a given biological event.
2. Apply basic algorithms to characterize and measure noise present in a biological signal.
3. Select appropriate sampling rates and anti-aliasing filters based on the spectral content of signals.
4. Select basic amplification methods to measure a biological signal in the presence of attenuation and noise.
5. Process and analyze biological signals to extract quantitative information.
6. Select an appropriate optical imaging technology and contrast method to probe a given biological sample.
7. Adjust the basic settings of an imaging system to achieve optimal signal-to-noise and dynamic range.
8. Process biomedical image sets using standard image processing algorithms.
9. Quantify features within biomedical image sets using image analysis techniques.
10. Develop basic analytical models of cellular and biological systems.
11. Perform sensitivity analyses to reduce the complexity of biological models.
12. Apply model validation techniques to assess and alter biological systems models.

CHE 590 / IDL 590: Principles of Microscopy, Imaging, and Image Analysis

In-depth tutorial exposure to interdisciplinary topics in Basic Medical Sciences.  Fundamental concepts of microscopy, imaging, and image analysis.

Course Objectives:  The student will be able to:

1. Apply basic principles of fluorescence and fluorescence imaging to the design of experiment protocols.
2. Sketch the light path for standard epifluorescence microscope systems.
3. Select appropriate fluorophores and filters for multi-label imaging.
4. Discuss the advantages and disadvantages of different light sources.
5. Discuss the advantages and disadvantages of different detectors.
6. Design experiments to correct for the influence of environmental factors on fluorescence signals
7. Optimize acquisition settings for detection of multiple fluorophores with specific experimental constraints (e.g., autofluorescence imaging, time lapse imaging, …)
8. Extract quantitative information from time lapse signals.
9. Select an appropriate optical imaging technology and contrast method to probe a given biological sample.
10. Process biomedical image sets using standard image processing algorithms.
11. Quantify features within biomedical image sets using image analysis techniques.