In this project, the student will develop an image reconstruction method for a novel autofluorescence optical projection tomography dataset prepared by our collaborators in the Laboratory of Nanoscale Biology at EPFL. Optical projection tomography is a method for creating a 3D image of a sample. It does this by computationally combining many projection images (similar to the X-ray image a doctor might take of a broken bone), taken from different angles. As the first goal of the project, we would like to apply tomography reconstruction software that our group has already developed to this novel data, compare different methods, and tune reconstruction parameters. As a second goal, we would like to explore methods of performing high-resolution, 3D reconstructions (as large as 1024x1024x1024), where RAM becomes a bottleneck; this will require carefully splitting the reconstruction volume into subvolumes.