Searched for: subject%3A%22imaging%255C+mass%255C+spectrometry%22
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document
Sinha, Gautam (author)
The main aim of the project was to develop a novel algorithm that enable two-dimensional feature detection in an extremely sparse environment of Ion Mobility Imaging Mass Spectrometry (IM-IMS) measurements. For this, 2D Wavelet Transform Maxima is proposed. This led to construction of wavelet chains (ridges) in the wavelet transform space....
master thesis 2024
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CHANOPOULOU, IOANNA (author)
Convolutional Neural Networks (CNNs) have emerged primarily from research focusing on image classification tasks and as a result, most of the well-motivated design choices found in literature are relevant to computer vision applications. CNNs' application on Imaging Mass Spectrometry (IMS) data is quite recent and involves new challenges, such...
master thesis 2023
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Anderson, David M G (author), Kotnala, Ankita (author), Migas, L.G. (author), Patterson, N. Heath (author), Tideman, L.E.M. (author), Ach, Thomas (author), Tortorella, Sara (author), Van de Plas, Raf (author), Curcio, Christine A. (author), Schey, Kevin L. (author)
Introduction: Age related macular degeneration (AMD) causes legal blindness worldwide, with few therapeutic targets in early disease and no treatments for 80% of cases. Extracellular deposits, including drusen and subretinal drusenoid deposits (SDD; also called reticular pseudodrusen), disrupt cone and rod photoreceptor functions and strongly...
journal article 2023
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Perry, William J. (author), Grunenwald, Caroline M. (author), Van de Plas, Raf (author), Witten, James C. (author), Martin, Daniel R. (author), Apte, Suneel S. (author), Cassat, James E. (author), Pettersson, Gösta B. (author), Caprioli, Richard M. (author), Skaar, Eric P. (author), Spraggins, Jeffrey M. (author)
Bacterial pathogens have evolved virulence factors to colonize, replicate, and disseminate within the vertebrate host. Although there is an expanding body of literature describing how bacterial pathogens regulate their virulence repertoire in response to environmental signals, it is challenging to directly visualize virulence response within...
journal article 2022
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Rivera, Emilio S. (author), Weiss, Andy (author), Migas, L.G. (author), Freiberg, Jeffrey A. (author), Djambazova, Katerina V. (author), Neumann, Elizabeth K. (author), Van de Plas, Raf (author), Spraggins, Jeffrey M. (author), Skaar, Eric P. (author), Caprioli, Richard M. (author)
Introduction: Although Staphylococcus aureus is the leading cause of biofilm-related infections, the lipidomic distributions within these biofilms is poorly understood. Here, lipidomic mapping of S. aureus biofilm cross-sections was performed to investigate heterogeneity between horizontal biofilm layers. Methods: S. aureus biofilms were...
journal article 2022
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Bailey, Melanie J. (author), de Puit, M. (author), Romolo, Francesco Saverio (author)
Surface analysis techniques have rapidly evolved in the last decade. Some of these are already routinely used in forensics, such as for the detection of gunshot residue or for glass analysis. Some surface analysis approaches are attractive for their portability to the crime scene. Others can be very helpful in forensic laboratories owing to...
review 2022
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Moens, Roger (author)
Modern imaging modalities across many application domains increasingly acquire a large number of very high-dimensional measurements, commonly collecting hundreds to millions of variables per spatial resolution element. That high-dimensional nature can severely challenge traditional (often Euclidean distance based) approaches to noise and...
master thesis 2021
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Booij, Thomas (author)
Retrieving actionable information from large datasets is increasingly computationally expensive due to the current trend of ever-increasing dataset sizes. Reducing dataset sizes with dimensionality reduction techniques is often necessary for statistical analysis techniques, such as classification, to be computationally feasible. Most...
master thesis 2021
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Tideman, L.E.M. (author), Migas, L.G. (author), Djambazova, Katerina V. (author), Patterson, Nathan Heath (author), Caprioli, Richard M. (author), Spraggins, Jeffrey M. (author), Van de Plas, Raf (author)
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impractical due to the large size and high-dimensionality of IMS datasets. Instead, we propose an...
journal article 2021
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Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
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van Winden, Thijs (author)
Imaging Mass Spectrometry (IMS) is a spectral imaging technique, which enables detection of the spatial distribution of molecules by collecting a mass spectrum for every pixel across a tissue sample. As such, IMS enables the detection of disease-introduced anomalies in tissue samples as well as the gaining of deeper insight on a molecular level...
master thesis 2019
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Verbeeck, N. (author), Caprioli, Richard M. (author), Van de Plas, Raf (author)
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that can map the spatial distribution of molecules with high chemical specificity. IMS does not require prior tagging of molecular targets and is able to measure a large number of ions concurrently in a single experiment. While this makes it particularly suited...
review 2019
Searched for: subject%3A%22imaging%255C+mass%255C+spectrometry%22
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