Integrative Imaging Systems Design
Full course description
Integrative imaging systems design is an interdisciplinary field of engineering that focuses on how to design and engineer complex imaging systems such as hyperspectral astral photography satellites and hybrid molecular imaging instruments. It is the ultimate tool for the rapid translation of scientific instrumentation into competitive new products. Imaging instrumentation is in a continuous state of evolution. In this course, you develop knowledge and insights of the instrumentation engineering principles needed to make useful and creative decisions in the design and construction of cutting-edge imaging instrumentation. You also develop expertise with the engineering design cycle within the context of scientific (imaging) instrumentation. This design cycle encompasses the analysis and formulation of the instrumentation design problem, setting design requirements, generating several conceptual designs followed by the selection of the optimal solution and its realization. Upon completion, you are able to identify and explain the process steps in scientific instrumentation design, modelling, and engineering. Special attention is paid to the underlying scientific principles and laws of the scientific instrumentation innovation as well as the elementary modelling steps of engineering systems.
Course objectives
After completing this course, you are able to:
- Use and discuss the importance of CAD (i.e. Creo Parametric) to integrative imaging system design.
- Develop the (engineering) skills needed to perform comprehensive problem analysis with defined quantitative requirements.
- Design an integrated imaging system using CAD and support the design with theoretical knowledge, calculations and simulations.
- Critically assess solutions (both your own and others) and work to refine existing (or previously developed) imaging solutions.
- Grasp the growing need and broader context for integrative imaging solutions.
Recommended reading
Mandatory:
- Khandani, S. (2005). Engineering Design Process. Saylor Academy: https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2012/09/ME101-4.1-Engineering-Design-Process.pdf
- Hall, A. S., Lavery, L. L., & Doux, P. (2018). Effective Multimodal Multiscale Analytical and Imaging Correlation. IEEE Sensors Letters, 3(1), 1-4. https://doi.org/10.1109/LSENS.2018.2878667
- Walter, A., Paul-Gilloteaux, P., Plochberger, B., Sefc, L., Verkade, P., Mannheim, J. G., ... & Wanek, T. (2020). Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon. Frontiers in Physics, 8, 1-28. https://doi.org/10.3389/fphy.2020.00047
Recommended:
- Skoog, D.A., Holler, F.J., & Crouch, S.R. (2018). Principles of Instrumental Analysis (7th ed.) Cengage Learning.