Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"linear unmixing"”.
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Clinical applications of quantitative photoacoustic imaging
… tissue-mimicking phantoms, and pigmented mice. Linear unmixing and a machine learning approach were compared to estimate blood oxygenation (sO<sub>2</sub>). A consistent trend of increasing sO<sub>2</sub> with increasing skin pigmentation was observed in all three settings, suggesting that …
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Experience-dependent dendrite remodeling of GABAergic interneurons in the adult visual cortex
… excited and spectrally resolved through linear unmixing so that individual structural and synaptic components can be identified and followed over time. Through this approach, the relationship between synaptic and structural plasticity can be studied in the living brain.
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Manifold learning based spectral unmixing of hyperspectral remote sensing data
<p>Nonlinear mixing effects inherent in hyperspectral data are not properly represented in linear spectral unmixing models. Although direct nonlinear unmixing models provide capability to capture nonlinear phenomena, they are difficult to formulate and the results are not always generalizable. …
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Development and Evaluation of Whole Slide Hyperspectral Confocal Fluorescence and Brightfield Macroscopy
Microscopic imaging in the biomedical sciences allows for detailed study of the structure and function of normal and abnormal (i.e., diseased) states of cells and tissues. The expression patterns of proteins and/or physiological parameters within these specimens can be related to disease …
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Fluorescence lifetime-resolved imaging microscopy studies: quantitative image analysis, spectral-FLIM, and photosynthesis
Development of instrumentation and image analysis methods for the fluorescence lifetime-resolved imaging microscopy (FLIM) were carried out in this thesis. With the new instrument setup and imaging processing algorithms, valuable information has been provided for studying in vivo photosynthesis …