The Helmholtz-Zentrum Hereon has a research outstation at the DESY campus in Hamburg, Germany, where the Institute of Materials Physics operates X-ray tomographic imaging beamlines (P05 IBL, P07 HEMS) of the PETRA III synchrotron radiation facility, as well as multiple supporting laboratory instruments for use by academic and industrial researchers. Alongside these operations, the Hereon Institute of Metallic Biomaterials is working on the study and development of biodegradable magnesium alloys as bone implant material. In order to understand the mechanisms that control the interactions between the material micro-structure and its mechanical, biological and corrosive properties, a suite of multi-modal imaging techniques over a wide range of scale are currently utilized. These include micro-CT (micro-computed tomography), FIB-SEM (focused ion beam – scanning electron microscopy), nano-CT (nano-computed tomography) and TEM (transmission electron microscopy) as well as histology. Accurate correlative analysis of different multimodal data sets measured on regions of the same (but not necessarily intact) sample requires the non-trivial registration of the data onto a single 3D reference frame. Often this step is manually performed via trial-and-error transformation manipulation of the dataset using commercial 3D image visualization software, however this can be a time-consuming method with corresponding accuracy depending on operator skill. To optimize the automation of this step, we are in the process of developing an open-source, python-based software package for the co-registration of multi-modal and -scale image data sets. Here we present progress results of the initial stage of this registration package, which is centered on 2D to 3D registration using the two examples of back-scattered electron SEM to X-ray micro-CT and visible light histology to X-ray micro-CT.