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Design and evaluation of an optical measurement setup for dynamic spectral object recognition
Art der Abschlussarbeit
Master
Autoren
  • Subbiah, Saranya Ramasamy
Betreuer
  • Prof. Dr.-Ing. Andreas Richter
  • Dr.-Ing. Robert Kirchner
Abstract
Dynamic spectral object detection has gained a lot of interest these days in various research fields. The main objective of the thesis is to establish a generic method to recognize microscopic objects with optical responses in dynamic state, which requires fast and robust response and data analyse. First, we investigated the optical responses of both pigment-coated glass and plasmonic nanoparticles in static state, establishing a wide database of the spectral features of the object of interest. With the analysation of the spectral features we collected, we successfully developed MATLAB code to identify the objects that is solely spectra-based, mainly by identifying the transmission peak/dip positions. Second, since the dynamic movement of the samples will inevitably introduce fluctuation to the spectra, we tested the MATLAB code against the dynamic measurements of samples with various optical features, that is, spectra were collected as several different samples continuously passing through the optical path. With our optical setup in combination with the MATLAB code, we could successfully identify the samples with an unknown sequence, albeit the fluctuation. In conclusion, we present in the thesis, a robust and fast method to detect and identify samples with various optical features solely based on their transmission spectra. We believe with further optimization, a more sophisticated optical setup, along with generic MATLAB code can be developed for identifying on-the-fly objects on microscopic scale.
Schlagwörter
-
Berichtsjahr
2020
Stand: 26.10.2020 10:29 Uhr