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 20 of 112 for “"Microscopy Images"”.
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New marked point process models for microscopy images
… by blurring artifacts in scanning electron microscopy (SEM) images. This blurring issue can lead to a bridged channel problem, which becomes an obstacle in analyzing the microstructures. To tackle the problem, we propose a joint deconvolution and segmentation (JDS) method. As a segmentation …
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Automatic 3D Neuron Tracing from Optical Microscopy Images.
… three-dimensional morphology of neurons from microscopy images. It is essential for delivering more comprehensive understanding of the relationship between neuronal structure and function, which is the fundamental to know how the brain works. However, currently neuron tracing remains a …
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Nano-particle count estimation in light microscopy images
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01
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Nearest neighbor search for cyro-electron microscopy images
Cryo-electron microscopy (EM) technology enables researchers to determine the structure of a molecule at a much higher resolution than ever before. The single particle reconstruction (SPR) is one of the most widespread techniques used to reconstruct the 3D model of a molecule from its large set of …
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Reconstructing neurons from serial section electron microscopy images
… can be reconstructed from a 3D electron microscopy (EM) image of a brain volume. A challenging and important subproblem is the segmentation of the image into neurons. For the past decade, convolutional networks have been used for 3D reconstruction of neurons from EM brain images. In this …
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Segmentation of cell structures in fluorescence confocal microscopy images
… and membrane segmentation of microfilament images captured by fluorescent confocal microscopy. Based on some background investigations, the active contour methodology has been selected as the fundamental method for image segmentation. This thesis presents the methods used and reports on the …
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Volumetric reconstruction of tissue structure from two-dimensional microscopy images
… tissue analysis use two dimensional histological images of the tissue samples, restricting the analysis to 2D. Existing approaches do not provide essential three-dimensional information such as cell volume, shape and structural orientation of cells within the tissue. This thesis investigates a …
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Detection and tracking of cells and focal adhesions in microscopy images
… of cell function and structure. Modern microscopy and imaging techniques have enabled cell biologists to observe and record cell processes in detail, thus generating high volumes of imaging data. Meaningful conclusions can only be drawn from such big datasets using automated quantitative …
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Cross-Modality Profiling of High-Content Microscopy Images with Deep Learning
… learning architectures. The use of automated microscopy in high-content phenotypic screening of cells treated with compounds or genetic perturbations produces a large amount of high-dimensional data. One example which we focus on in this thesis is Cell Painting, a standardized pipeline used to …
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A modular architecture for client-based analysis of biological microscopy images
In this project, we have proposed a decorrelator-based single antenna interference cancellation algorithm for the asynchronous GSM/GPRS network. The algorithm is tested according to the current SAIC/DARP performance requirement in the computer simulation, and is shown to give various gains in …
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Detecting cells and analyzing their behaviors in microscopy images using deep neural networks
… classify and quantify patterns in medical images. Recent advances in machine learning, more specifically, in the way of deep learning, have made a big leap to boost the performance of various medical applications. The fundamental core of these advances is exploiting hierarchical feature …
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Advanced Processing of Scanning Electron Microscopy Images in 2-D and 3-D Datasets
To acquire high-resolution Scanning Electron Microscopy (SEM) images over wide areas, we must acquire several images ``tiling'' the surface and assemble them into a single composite image, using a process called image stitching. While for some applications, stitching is now routine, SEM mosaics of …
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Scalable algorithms for semi-automatic segmentation of electron microscopy images of the brain tissue
… scalable algorithms for segmenting very large 3D images of brain tissue. Currently, light and electron microscopy can now produce terascale 3D images within hours. Extracting the information about the shapes and connectivity of the neurons require fast and accurate image segmentation algorithms. …
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Optimization Techniques for Multi-object Detection and Tracking on Live-cell Fluorescence Microscopy Images and Their Applications
Fluorescence microscopy is a pivotal imaging technique to visualize biological processes and has been extensively utilized in live-cell morphology analysis. Despite its utility, related object detection and tracking tasks still face challenges due to large data scales, inferior data quality, and …
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Fully automated computer system for diagnosis of corneal diseases. Development of image processing technologies for the diagnosis of Acanthamoeba and Fusarium diseases in confocal microscopy images
Confocal microscopy demonstrated its value in the diagnosis of Acanthamoeba and fungal keratitis which considered sight-threatening corneal diseases. However, it can be difficult to find and train confocal microscopy graders to accurately detect Acanthamoeba cysts and fungal filaments in the …
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Fully automated computer system for diagnosis of corneal diseases. Development of image processing technologies for the diagnosis of Acanthamoeba and Fusarium diseases in confocal microscopy images
Confocal microscopy demonstrated its value in the diagnosis of Acanthamoeba and fungal keratitis which considered sight-threatening corneal diseases. However, it can be difficult to find and train confocal microscopy graders to accurately detect Acanthamoeba cysts and fungal filaments in the …
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Efficient Processing of Corneal Confocal Microscopy Images. Development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images.
… laser confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, ophthalmologists can extract clinical information on the state of health of a patient’s cornea. However, many factors impede ophthalmologists in forming …
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Efficient Processing of Corneal Confocal Microscopy Images. Development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images
… laser confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, ophthalmologists can extract clinical information on the state of health of a patient’s cornea. However, many factors impede ophthalmologists in forming …
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Pressure Treatment of Polytene Chromosomes and Computer Vision Techniques for High Resolution Cytogenetic Studies
… high quality chromosome spreads whose light microscopy images reproducibly show comparable detail to electron microscopy images of conventionally prepared spreads. We illustrate results obtained with this procedure from typical cytological applications, including immunofluorescence and …
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U-Net Network Enhancements to Facilitate Rapid Electron Microscopy Imaging for Connectomics
… diagrams. To automatically segment and classify images that are used in the construction of these neuronal wiring diagrams, or connectomes today, machine learning segmentation techniques require an image scanned with an electron microscope at either a slow dwell time or with small pixel sizes. …
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