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Development and evaluation of deconvolution microscopy methods

Nikoloulias Dimitrios-Marios

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URI: http://purl.tuc.gr/dl/dias/8ECBC83A-2442-4C71-A965-EDCDA94B5711
Year 2023
Type of Item Diploma Work
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Bibliographic Citation Dimitrios-Marios Nikoloulias, "Development and evaluation of deconvolution microscopy methods", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023 https://doi.org/10.26233/heallink.tuc.96775
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Summary

Microscopy is a powerful imaging technique that has enabled researchers to visualize and study the micro- and nano-scale structures of various biological and material systems. However, traditional microscopy techniques are often limited by a narrow depth of field, which means that only a small portion of the specimen can be in focus at a time. To overcome this limitation, multi-focus image fusion techniques have been developed to combine multiple images of the same specimen taken at different focal planes to produce a final image that is in focus across the entire depth of the specimen. The diploma thesis focuses on the development of a Quadtree-based multi-focus image fusion algorithm that can handle large and complex microscopy images. The proposed algorithm uses a weighted focus measure to determine the focus of different regions of the image and a Quadtree data structure to represent the focus of different regions at different levels of resolution. The Quadtree is then used to guide the fusion process, with regions of the image that are in focus at different focal planes being selected and combined to produce the final fused image.

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