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:
- Select an appropriate sensor to measure a given biological event.
- Apply basic algorithms to characterize and measure noise present in a biological signal.
- Select appropriate sampling rates and anti-aliasing filters based on the spectral content of signals.
- Select basic amplification methods to measure a biological signal in the presence of attenuation and noise.
- Process and analyze biological signals to extract quantitative information.
- Select an appropriate optical imaging technology and contrast method to probe a given biological sample.
- Adjust the basic settings of an imaging system to achieve optimal signal-to-noise and dynamic range.
- Process biomedical image sets using standard image processing algorithms.
- Quantify features within biomedical image sets using image analysis techniques.
- Develop basic analytical models of cellular and biological systems.
- Perform sensitivity analyses to reduce the complexity of biological models.
- 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:
- Apply basic principles of fluorescence and fluorescence imaging to the design of experiment protocols.
- Sketch the light path for standard epifluorescence microscope systems.
- Select appropriate fluorophores and filters for multi-label imaging.
- Discuss the advantages and disadvantages of different light sources.
- Discuss the advantages and disadvantages of different detectors.
- Design experiments to correct for the influence of environmental factors on fluorescence signals
- Optimize acquisition settings for detection of multiple fluorophores with specific experimental constraints (e.g., autofluorescence imaging, time lapse imaging, 鈥�)
- Extract quantitative information from time lapse signals.
- Select an appropriate optical imaging technology and contrast method to probe a given biological sample.
- Process biomedical image sets using standard image processing algorithms.
- Quantify features within biomedical image sets using image analysis techniques.