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 13 of 13 for “"cell classification"”.
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Making computer vision Methods accessible for cell classification
… can be quantified with spectral analysis. Next, CellProfiler Analyst, an updated software application for interactive machine learning classification and feature analysis is described along with its use for classifying imaging flow cytometry data. Further software related advances include the …
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Clinical Decision Support System with Adaptive Software Framework for Chronic Lymphocytic Leukaemia Cell Classification
… pattern for chronic lymphocytic leukaemia (CLL) cell classification. The system goes through a sequence of steps while working with the lymphocyte images: it segments the lymphocyte with average segmentation accuracy of (97% ±0.5 for lymphocyte nucleus and 92.08% ±9.24 for lymphocyte cytoplasm); …
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System Design, Construction, Implementation, and Validation For Rapid Single-Cell Classification Using Imaging Multivariate Optical Computing
… on developing instrumentation to classify single-cell phytoplankton cells in situ. Excitation spectra are collected using a single-cell optical trapping instrument built in house. Linear discriminant analysis (LDA) has been used to classify individual phytoplankton cells based on the fluorescence …
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Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer with Gene Expression and Computational Pathology
… different response to NAT. The published classification is based on RNA expression from fresh frozen tissue, which is impractical in a clinical setting. Initially, I attempted to build an accurate classifier for IntClusts based on RNA expression from widely available FFPE tissue, using a …
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An automated multicolour fluorescence in situ hybridization workstation for the identification of clonally related cells
… subpopulations (clones) of genetically similar cells within tissue samples through measurement of loci-specific Fluorescence in-situ hybridization (FISH) spot signals for each nucleus and analyzing cell spatial distributions by way of Voronoi tessellation and Delaunay triangulation to robustly …
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Discrete Optimization in Early Vision - Model Tractability Versus Fidelity
… MRI segmentation, image registration, and cell classification.
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Deep learning for automatic microscopy image analysis
… allow for the creation of detailed images of cells (or nuclei) and have been widely employed for cell studies in biological research and disease diagnosis in clinic practices.Microscopy image analysis (MIA), with tasks of cell detection, cell classification, and cell counting, etc., can assist …
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PROFILING EFFUSION CELLS BY QUANTITATIVE ANALYSIS OF MORPHOLOGY AND DIFFRACTION IMAGING PATTERNS
Profiling cells in human pleural and peritoneal effusion (PPE) samples is an essential task for cytological diagnosis of cancers and patient management. Conventional PPE cytology of a PPE sample is labor intensive and its efficacy depends heavily on the experience of trained specialists in addition …
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Digitally quantified neuropathological correlates of structural and functional imaging biomarkers in progressive supranuclear palsy
… pipeline for quantifying total and tau positive cell density for neuronal and glial cells in *post mortem* samples. This promises to be a more objective, detailed, and scalable solution for pathological assessment. However, cell classification with high accuracy has proven to be very challenging; …
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A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification
… to tackle this disease is to first study it at a cellular level. This study aims at identifying various phenotypic traits of these cells in the Dielectrophoresis (DEP) based microfluidic device experimental setup and subsequently classifying the cells from the rest. A general framework for …
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Single cancer cell detection with optofluidic intracavity spectroscopy
The detection of cancer cells is the basis for cancer diagnostics, cancer screening and cancer treatment monitoring. Non-destructive and non-chemical optical methods may help reduce the complexity and cost of related test, making them more available to the public. The label-free technique of …
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Nonparametric Methods for Analysis and Modeling of Complex Multivariate Distributions
… Our second method is motivated by the task of classification and calibration of flow cytometry observations. An important step in comparative analyses of multi-sample flow cytometry data is cross-sample calibration, whose goal is to align cell subsets across multiple samples in the presence of …
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Direct Inputs to off Α and G9 Ganglion Cells From Aii Amacrine Cells In Rabbit Retina
In the mammalian retina, AII amacrine cells are essential in the rod pathway for dark-adapted vision. But they also have a “day job”, to provide inhibitory inputs to certain OFF ganglion cells in photopic conditions. This is known as crossover inhibition. Physiological evidence from several …