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Hyperspectral Imaging
Zsidek, Adrián ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The goal of this work is to gain basic knowledge about hyperspectral imaging. The theoretical part discusses data representation, collection, properties of the method and fields of application. It describes possibilities for hyperspectral image classification. The work deals with datasets and describes a collection of one. It shows a state-of-the-art model for hyperspectral imaging. In the practical part it describes the implementation of a classifier, which is based on spectral matching, and shows the results and potential improvements.
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On Hyperspectral Analysis of Water Soluble Writing Inks
Zemčík, Tomáš ; Horák, Karel
In this short paper a possibility of using HyperspectralImaging based analysis of water soluble inks is investigated.The current research has investigated this method mostly formarker inks, ballpoint pen inks and gel inks, yet curiously thewhole water soluble ink class seems underrepresented. Sampleswere prepared and hyperspectral images of said samples taken,and some preliminary statistical analysis was performed. Thedata at this stage suggests that at least some samples arevisually distinguishable from other samples, while certain othersamples are virtually indistinguishable. A method for applyingthis knowledge in a handwritten text ink identification is brieflyoutlined and implemented in a simplified way, the results arepromising on good input data, but poor on subpar images.The weaknesses of the method are discussed and potentialimprovement strategies proposed.
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Design of an Optical Nut Sorting Machine
Toporková, Natália ; Rubínová, Dana (referee) ; Křenek, Ladislav (advisor)
This work deals with the design of an original artistic-technical concept of an optical hyperspectral sorting device for nuts, taking into account economic, hygienic, aesthetic, and ergonomic aspects. The goal is to combine less commonly used materials for food technology, add an aesthetic element to the mechanical environment, minimize costs for technology manufacturers, and save processing space for operators. The device allows sorting nuts based on their chemical composition, ensuring reliable sorting with minimal human intervention and providing consistent results. The design of the device focuses on originality, aesthetics, and ergonomics, taking into account hygiene and safety standards and guidelines in the food industry. The proposed design is suitable for implementation in food processing plants. It also incorporates ergonomic elements to make the machine user-friendly. The overall design and functionality of the machine make it suitable for universal application.
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Hyperspectral Imaging
Zsidek, Adrián ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The goal of this work is to gain basic knowledge about hyperspectral imaging. The theoretical part discusses data representation, collection, properties of the method and fields of application. It describes possibilities for hyperspectral image classification. The work deals with datasets and describes a collection of one. It shows a state-of-the-art model for hyperspectral imaging. In the practical part it describes the implementation of a classifier, which is based on spectral matching, and shows the results and potential improvements.
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Fast and highly sensitive laser scanner for recording photon-upconversion luminiscence from planar surfaces
Hlaváček, Antonín ; Křivánková, Jana ; Foret, František
Photon-upconversion nanoparticles (UCNPs) are lanthanide-doped nanocrystals that can be excited by nearinfrared light and emit photon-upconversion luminescence of shorter wavelengths. Advantages of UCNPs include near-infrared excitation, multiple and narrow emission bands, negligible autofluorescence and high stability, which make UCNPs ideal luminescence label for use in biological and chemical assays. These assays - e.g. upconversion-linked immunosorbent assay, western blot, lateral flow assay, gel electrophoresis, thin layer chromatography - commonly require the scanning of a planar surface with a high spatial resolution and an excellent sensitivity. The availability of commercial equipment is recently limited because of the novelty of the photon-upconversion phenomenon. Therefore, we report on the construction of photon-upconversion laser scanner. The scanner consists of a laser scanning head, which is attached to a xy-moving stage. The scanning head itself is constructed as an epiluminescence detector with excitation wavelength of 976 nm. A CCD array spectroscope is connected to the laser head and serves as a sensitive detector of photon-upconversion luminescence. The scanner possesses a spatial resolution of 200 μm, the scanning rate is up to 57 points per second and the sensitivity reaches down to single photon-upconversion nanoparticle.
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Secondary electron hyper spectral imaging in helios nanolab - mapping materials properties or artefacts?
Rodenburg, C. ; Masters, R. ; Abrams, K. ; Dapor, M. ; Krátký, Stanislav ; Mika, Filip
A link between peaks in secondary electron (SE) spectra and Electron Energy Loss Spectra\n(EELS) was shown decades ago. Also, materials properties (bulk modulus, band gap)\ncorrelate with the bulk plasmon position in EELS, and local modulus maps in carbon fibres\nhave been presented. If any features as result of plasmon decay into SE can be identified,\nSE spectroscopy combined with hyperspectral imaging could transform the SEM into a tool\nfor mapping materials properties with ground-breaking potential for nanotechnology. To\nbecome a reality, we first need to establish SE collection conditions spectra that represent a\nmaterial reliably. Second, we need to gain a better understanding of the processes involved in the SE emission processes.
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