%0 Book
%T Imaging and motion detection at the nanometer scale: a data-driven approach
%A Trelin, Andrii
%D 2024
%C Germany; Rostock
%C Universität Rostock
%G English
%F 1982199067
%O vorgelegt von Andrii Trelin
%O Enthält Zeitschriftenartikel
%O GutachterInnen: Dmitry Postnov (Aarhus University) ; Oliver Otto (Universität Greifswald)
%O Dissertation Universität Rostock 2025 Kumulative Dissertation
%X This thesis applies data-driven methods to small signal detection in physics, focusing on optical sensing of neuron action potentials and nanoscale tomography of nitrogen-vacancy centers in diamonds. It introduces ChiSCAT, an optical scheme and algorithm that recover membrane motion signals from non-image data, validated on human cells and shared as open datasets. It also presents an optimized NV tomography method that cuts acquisition time by ~10x. These results show how advanced data processing can unlock signals from challenging measurements, bridging data science and experimental physics.<eng>
%L 530
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00005764
%U https://purl.uni-rostock.de/rosdok/id00005764
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005764-1
%U https://d-nb.info/1418060054/34
%U https://doi.org/10.18453/rosdok_id00005764