Imaging and motion detection at the nanometer scale : a data-driven approach

Andrii Trelin

doi:10.18453/rosdok_id00005764

Andrii Trelin

Imaging and motion detection at the nanometer scale : a data-driven approach

Universität Rostock, 12.12.2024

https://doi.org/10.18453/rosdok_id00005764

Abstract: 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.

Dissertation Freier Zugang

Titel:

Imaging and motion detection at the nanometer scale: a data-driven approach

Beteiligte Personen:

Andrii Trelin[VerfasserIn]
	1416929517
Dmitry Postnov[AkademischeR BetreuerIn]
	Aarhus University
Oliver Otto[AkademischeR BetreuerIn]
	121909824
	Universität Greifswald

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universität Rostock. Mathematisch-Naturwissenschaftliche Fakultät[Grad-verleihende Institution]
	2147083-2

Zusammenfassung:

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. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Mathematisch-Naturwissenschaftliche Fakultät

Sprache:

Englisch

Sachgruppe der DNB:

530 Physik

Umfang:

1 Online-Ressource (vi, 92 Seiten)

Veröffentlichung /
Entstehung:

Rostock: Universität Rostock