TY  - BOOK
AU  - Trelin, Andrii
PY  - 2024
DA  - 2024//
TI  - Imaging and motion detection at the nanometer scale: a data-driven approach
PB  - Universität Rostock
CY  - Germany; Rostock
AB  - 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>
UR  - https://purl.uni-rostock.de/rosdok/id00005764
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005764-1
UR  - https://d-nb.info/1418060054/34
UR  - https://doi.org/10.18453/rosdok_id00005764
DO  - 10.18453/rosdok_id00005764
LA  - English
N1  - vorgelegt von Andrii Trelin
ID  - 1982199067
ER  -