In several biomedical imaging modalities, the motion of the sample can be non negligible during the acquisition time of a 2D image or 3D volume. This is for example the case in scanning electron microscopy, in which the sample is raster scanned with a certain known trajectory, or dynamic MRI imaging, which has long acquisition times. In the case of microscopy, this issue is typically not accounted for when reconstructing time-varying images, which leads to errors in the reconstruction. In this project, the student will investigate ways to reconstruct time-varying images that account for the acquisition time, a strategy known at timing correction. This is done by assigning finer time stamps to the measurements, instead of assuming that each frame is acquired instantaneously. To achieve this, we will use a spline-based continuous model. The student should be interested in mathematics and preferably have some experience with Matlab.