• Develop interactive, computable Mathematica® demonstrations to explore the principles behind relevant imaging instruments (see Appendix A). Accompanying questions that require computation will help students gain intuition about the capabilities and limitations of these instruments, as well as the essential principles governing their function.

• Let students curate these computable Mathematica® demonstrations. Documented and computable notebooks would serve as templates when students wish to revisit and customize these analyses in research, as well as tutor future students on similar tasks.

• Develop basic capabilities in algorithmic image analyses (see Appendix B) through the software package Mathematica®, and learn fundamental data handling routines (e.g. data

extraction, plotting, curve fitting, covariance analyses, histogramming). Knowing which tools are available changes will change the type of research performed.

• Share the curated repository of computable documents using affordable cloud-based and/or web-hosting services. This exposure will provide crucial feedback for improving content delivery.

The repository will be available to members of the NUS Centre of BioImaging Sciences, the Department of Biological Sciences, as well as interested persons within NUS.