Localization of Signal Peaks in Photon Science Imaging

In order to get insights into the atomic structure of tiny samples like proteins or viruses, X -- Ray microscopy can be utilized. Here, an X -- Ray laser illuminates crystallized samples and the scattered light is captured by a detector device in the form of an image. Due to limitations of the experimental setups, these images not only contain the relevant data, but are contaminated by noise from various sources. This makes it hard to isolate useful images containing enough valid signals to be used for further research. In this article, we explore the different sources of noise and propose a series of techniques for identifying valid signals in photon science. The outcome of our algorithm is then compared to predictions obtained by the tools currently in use.