Browsing by Author "Haamer, Rain Eric"
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Item Automated Data Extraction and Analysis for Arrayed Primer Extension Images(Tartu Ülikool, 2017) Haamer, Rain Eric; Anbarjafari, Gholamreza, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. TehnoloogiainstituutThe Arrayed Primer Extension (APEX) method is used to detect Single-Nucleotide Polymorphism (SNP), deletion and insertion based diseases. The main method consists of washing different flourophores over oligonukleotites and then analysing which flourophore attached to identify the oligonukleotites. A crucial step in the APEX method is analysing the captured light from the flourophores when a laser excites them. The current method of analysing this data requires extensive manual review. This thesis describes a method of automating the data grid detection in the captured images which is currently a manual task. The second part describes the application of predictive methods for the data analysis of the four captured images and comparisons to the already existing clustering method.Item Imaging Simulator and Geometric Image Stitching for a Low Earth Orbit Satellite with High Spin Rates(Tartu Ülikool, 2019) Haamer, Rain Eric; Sünter, Indrek, supervisor; Anbarjafari, Gholamreza, supervisor; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. TehnoloogiainstituutESTCube-2 is a low-earth orbit satellite with the main mission of deploying and testing an electrically charged tether and a secondary mission of photographing ground vegetation. The tether deployment and maintaining its separation from the satellite requires a very high spin rate, which poses too many challenges to the imaging system for it to be viable in its current state. In an attempt to resolve this issue, a novel image morphing and stitching algorithm was developed that uses geometric mapping for reconstruction. The proposed method was tested on a specifically made simulation environment that mimics predefined camera parameters. The stitching algorithm was verified to perform within acceptable margins even when expected high spin distortion models were applied.