Hyperspectral Data Processing
Each color of the spectrum holds a secret and encodes hidden details that can be viewed using hyperspectral imaging. This project therefore dealt with the acquisition of hyperspectral data from methylene blue solutions, their spectrum extraction and classification using machine learning pattern recognition algorithms.
SD-VIS-OCT System
Optical coherence tomography (OCT) in particular has recently become increasingly popular among researchers due to its wide range of applications, advantages and considerable future potential. The aim of this work was to develop a single OCT setup in the visible range of the light spectrum (VIS for short) in order to achieve higher resolutions.
Designing a Cost-Effective OCT System
Optical coherence tomography (OCT) is a high-resolution method for the multidimensional visualization of structures below what we can see. The student project involved the development and improvement of such an OCT set-up.
Building up an “OpenFlexure” Microscope
Viewing the fascinating world of the microcosm requires an essential tool – the microscope. However, professional setups can be costly, heavy and often non-modular. With this in mind, two students tried their hand at setting up an open source project entitled “OpenFlexure Microscope”.
High-Throughput Imaging and Spectroscopy System
Raman spectroscopy as a label-free imaging approach has received a lot of attention in research and even therapeutic applications, especially in the last decade. This master’s thesis aimed to develop LabVIEW software for high-throughput multimodal microscopy imaging and the collection of Raman spectra of biological cells.
Improving the Resolution of Optical Microscopy Data
The Super Resolution Generative Adversarial Network (SRGAN) is a novel deep learning method that enables the generation of photorealistic details with up to a 4-fold increase in resolution. Against this background, this bachelor’s thesis set itself the goal of gaining an empirical understanding of the SRGAN.
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