In the last decade, many different tools have been invented for evaluation of protein-protein interactions, which is important for understanding different diseases such as pneumonia. As part of big research on cell interactions, video sequences of hyperspectral images of the cells are taken and analyzed. The problem is that there is a huge amount of cells and images, and thus it is very hard to use manual segmentation and tracking.
We use the tools of nanotechnology and develop a visual tracking algorithm for motion analysis of nanoplatforms under the influence of an external magnetic field. We have studied quantitative relationships between nanoplatform sizes, fluid flow rate and viscosity, external magnetic field strength and their effects on the nanoplatform trajectories.