Дисертації з теми "Microscopy – Data processing"
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Walton, John Moorcroft. "The acquisition, analysis and processing of Scanning Auger Microscopy (SAM) and Scanning Tunneling Microscopy (STM) data." Thesis, University of York, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387184.
Повний текст джерелаFarnham, Rodrigo Bouchardet. "Processing and inpainting of sparse data as applied to atomic force microscopy imaging." California State University, Long Beach, 2013.
Знайти повний текст джерелаJarasch, Markus. "Interfacing a Computer to a Scanning Tunneling Microscope." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/5047.
Повний текст джерелаXinyu, Chang. "Neuron Segmentation and Inner Structure Analysis of 3D Electron Microscopy Data." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1369834525.
Повний текст джерелаRogers, Wendy Laurel. "A Mahalanobis-distance-based image segmentation error measure with applications in automated microscopy /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66025.
Повний текст джерелаAngadi, Veerendra C. "Quantitative electron energy-loss spectrum data processing for hyperspectral imaging in analytical transmission electron microscopy." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/20007/.
Повний текст джерелаStein, Simon Christoph [Verfasser], Jörg [Akademischer Betreuer] [Gutachter] Enderlein, and Holger [Gutachter] Stark. "Advanced Data Processing in Super-resolution Microscopy / Simon Christoph Stein ; Gutachter: Jörg Enderlein, Holger Stark ; Betreuer: Jörg Enderlein." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2017. http://d-nb.info/1138835935/34.
Повний текст джерелаAndronov, Leonid. "Development of advanced methods for super-resolution microscopy data analysis and segmentation." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAJ001.
Повний текст джерелаAmong the super-resolution methods single-molecule localization microscopy (SMLM) is remarkable not only for best practically achievable resolution but also for the direct access to properties of individual molecules. The primary data of SMLM are the coordinates of individual fluorophores, which is a relatively rare data type in fluorescence microscopy. Therefore, specially adapted methods for processing of these data have to be developed. I developed the software SharpViSu and ClusterViSu that allow for most important data processing steps, namely for correction of drift and chromatic aberrations, selection of localization events, reconstruction of data in 2D images or 3D volumes using different visualization techniques, estimation of resolution with Fourier ring correlation, and segmentation using K- and L-Ripley functions. Additionally, I developed a method for segmentation of 2D and 3D localization data based on Voronoi diagrams, which allows for automatic and unambiguous cluster analysis thanks to noise modeling with Monte-Carlo simulations. Using advanced data processing methods, I demonstrated clustering of CENP-A in the centromeric regions of the cell nucleus and structural transitions of these clusters upon the CENP-A deposition in early G1 phase of the cell cycle
Fortier, Hélène. "AFM Indentation Measurements and Viability Tests on Drug Treated Leukemia Cells." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34345.
Повний текст джерелаVaillancourt, Benoit. "Novel biophysical appliations [sic] of STICS." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=111550.
Повний текст джерелаBilyeu, Taylor Thomas. "Crystallographic Image Processing with Unambiguous 2D Bravais Lattice Identification on the Basis of a Geometric Akaike Information Criterion." Thesis, Portland State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1541427.
Повний текст джерелаCrystallographic image processing (CIP) is a technique first used to aid in the structure determination of periodic organic complexes imaged with a high-resolution transmission electron microscope (TEM). The technique has subsequently been utilized for TEM images of inorganic crystals, scanning TEM images, and even scanning probe microscope (SPM) images of two-dimensional periodic arrays. We have written software specialized for use on such SPM images. A key step in the CIP process requires that an experimental image be classified as one of only 17 possible mathematical plane symmetry groups. The current methods used for making this symmetry determination are not entirely objective, and there is no generally accepted method for measuring or quantifying deviations from ideal symmetry. Here, we discuss the crystallographic symmetries present in real images and the general techniques of CIP, with emphasis on the current methods for symmetry determination in an experimental 2D periodic image. The geometric Akaike information criterion (AIC) is introduced as a viable statistical criterion for both quantifying deviations from ideal symmetry and determining which 2D Bravais lattice best fits the experimental data from an image being processed with CIP. By objectively determining the statistically favored 2D Bravais lattice, the determination of plane symmetry in the CIP procedure can be greatly improved. As examples, we examine scanning tunneling microscope images of 2D molecular arrays of the following compounds: cobalt phthalocyanine on Au (111) substrate; nominal cobalt phthalocyanine on Ag (111); tetraphenoxyphthalocyanine on highly oriented pyrolitic graphite; hexaazatriphenylene-hexacarbonitrile on Ag (111). We show that the geometric AIC procedure can unambiguously determine which 2D Bravais lattice fits the experimental data for a variety of different lattice types. In some cases, the geometric AIC procedure can be used to determine which plane symmetry group best fits the experimental data, when traditional CIP methods fail to do so.
Ter, Haak Martin. "Machine learning for blob detection in high-resolution 3D microscopy images." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232114.
Повний текст джерелаSyftet med blobdetektion är att hitta regioner i en digital bild som skiljer sig från omgivningen med avseende på egenskaper som intensitet eller form. Biologisk bildanalys är en vanlig tillämpning där blobbar kan beteckna intresseregioner som har färgats in med ett fluorescerande färgämne. Vid bildbaserad in situ-sekvensering för ribonukleinsyra (RNA) är blobbarna lokala intensitetsmaxima (dvs ljusa fläckar) motsvarande platserna för specifika RNA-nukleobaser i celler. Traditionella metoder för blob-detektering bygger på enkla bildbehandlingssteg som måste vägledas av användaren. Problemet är att användaren måste hitta optimala parametrar för varje steg som ofta är specifika för just den bilden och som inte kan generaliseras till andra bilder. Dessutom är några av de befintliga verktygen inte lämpliga för storleken på mikroskopibilderna som ofta är i mycket hög upplösning och 3D. Maskininlärning (ML) är en samling tekniker som ger datorer möjlighet att “lära sig” från data. För att eliminera beroendet av användarparametrar, är tanken att tillämpa ML för att lära sig definitionen av en blob från uppmärkta bilder. Forskningsfrågan är därför hur ML effektivt kan användas för att utföra blobdetektion. En blobdetekteringsalgoritm föreslås som först extraherar en uppsättning relevanta och icke-överflödiga bildegenskaper, klassificerar sedan pixlar som blobbar och använder slutligen en klustringsalgoritm för att dela upp sammansatta blobbar. Detekteringsalgoritmen fungerar utanför kärnan, vilket innebär att det kan bearbeta bilder som inte får plats i minnet genom att dela upp bilderna i mindre delar. Resultatet visar att detekteringsalgoritmen är genomförbar och visar att den kan konkurrera med andra populära programvaror för blobdetektion. Men i motsats till andra verktyg behöver den föreslagna detekteringsalgoritmen inte justering av sina parametrar, vilket gör den lättare att använda och mer tillförlitlig.
Le, Floch Hervé. "Acquisition des images en microscopie electronique a balayage in situ." Toulouse 3, 1986. http://www.theses.fr/1986TOU30026.
Повний текст джерелаSchulte, Lukas [Verfasser], Holger [Akademischer Betreuer] Stark, Holger [Gutachter] Stark, and Ralf [Gutachter] Ficner. "New Computational Tools for Sample Purification and Early-Stage Data Processing in High-Resolution Cryo-Electron Microscopy / Lukas Schulte ; Gutachter: Holger Stark, Ralf Ficner ; Betreuer: Holger Stark." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1175204889/34.
Повний текст джерелаHall, Richard James. "Development of methods for improving throughput in the processing of single particle cryo-electron microscopy data, applied to the reconstruction of E. coli RNA polymerase holoenzyne - DNA complex." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411621.
Повний текст джерелаTRASOBARES, Susana. "Synthesis and Characterization of New Carbon Nitrogen Structures, Thin Films and Nanotubes." Phd thesis, Université Paris Sud - Paris XI, 2001. http://tel.archives-ouvertes.fr/tel-00002751.
Повний текст джерелаLouys, Mireille. "Traitement d'images de microscopie électronique appliqué à l'étude structurale de macromolécules biologiques." Université Louis Pasteur (Strasbourg) (1971-2008), 1988. http://www.theses.fr/1988STR13153.
Повний текст джерелаSorel, Julien. "Tomographie électronique analytique : Automatisation du traitement de données et application aux nano-dispositifs 3D en micro-électronique." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI078.
Повний текст джерелаThe aim of this thesis is to automate the process of hyperspectral analysis for analytical electron tomography applied to nanodevices. The work presented here is focused on datasets obtained by energy-dispersive X-ray spectroscopy in a scanning transmission electron microscope (STEM-EDX). STEM-EDX tomography has benefited greatly from recent developments in electron sources such as the ‘X’-FEG (Field Emission Gun), and multiple X-ray detector systems such as the Super-X, incorporating four SSD (Silicon Drift Detectors) detectors. The technique remains however very time-consuming, and low X-ray count rates are necessary to minimize the total acquisition time and avoid beam damage during the experiment. In addition, tomographic stacks of STEM-EDX datacubes, acquired at different tilt angles, are too large to be analyzed by commercial software packages in an optimal way. In order to automate this process, we developed a code based on Hyperspy, a Python library for multidimensional data analysis. Multivariate statistical analysis techniques were employed to optimize and automate the denoising, the energy calibration and the separation of overlapping X-ray lines, with the aim to achieve quantitative, chemically sensitive volumes. Moreover, a compressed sensing based algorithm was employed to achieve high fidelity reconstructions with undersampled tomographic datasets. The code developed during this thesis was used for the 3D chemical analysis of four microelectronic nanostructures: FinFET, HEMT and GAA transistors, and a GeTe thin film for memory device applications. The samples were prepared in a needle shape using a focused ion beam, and the data acquisitions were performed using a Titan Themis microscope equipped with a super-X EDX detector system. It is shown that the code yields 3D morphological and chemical information with high accuracy and fidelity. Ways to improve the current methodology are discussed, with future efforts aiming at developing a package dedicated to analytical electron tomography
Ceremuga, Joseph Thomas II. "Optimizing inspection of high aspect ratio microstructure using a programmable optical microscope." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5394.
Повний текст джерелаCeremuga, Joseph Thomas. "Optimizing inspection of high aspect ratio microstructure using a programmable optical microscope." Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180101/unrestricted/ceremuga%5Fjoseph%5Ft%5F200312%5Fms.pdf.
Повний текст джерелаSmrčková, Zuzana. "Motilita leukemických buněk analyzovaná nekoherentním holografickým kvantitativním zobrazováním fáze." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444984.
Повний текст джерелаVlachynská, Alžběta. "Metody pro obrazovou analýzu populace fotosyntetických buněčných kultur." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221387.
Повний текст джерелаCRAESMEYER, GABRIEL R. "Tratamento de efluente contendo urânio com zeólita magnética." reponame:Repositório Institucional do IPEN, 2013. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10578.
Повний текст джерелаMade available in DSpace on 2014-10-09T14:05:08Z (GMT). No. of bitstreams: 0
Dissertação (Mestrado)
IPEN/D
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Andén, Olivia. "Structural basis of modulation by pH and calcium in a ligand-gated ion channel." Thesis, KTH, Genteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299889.
Повний текст джерелаPentameric ligand-gated ion channels (pLGICs) are crucial for the conversion of chemical to electrical signaling in the nervous system of mammals. Dysfunction in these channels has been found to be connected to several diseases including epilepsy, schizophrenia, Alzheimer’s, and autism, making them the target of a wide variety of therapeutic agents. However, studying eukaryotic channels is challenging so the discovery of prokaryotic homologs that are much easier to study has thus greatly helped in the understanding of the structure and function in this family of proteins. In this project, a prokaryotic pLGIC called DeCLIC was produced and purified from Escherichia coli. Structural determination of the channel was pursued using cryo-electron microscopy at a low pH and in the presence of calcium. An electron density at 3.4 Å resolution was achieved and compared to previously determined structures at different conditions in an attempt to determine the structural modulation of calcium and pH. Results show multiple differences in channel conformation in the presence and absence of calcium as well as in different pH conditions. Furthermore, analysis of the determined electron density suggests a possible intermediate state at low pH in the presence of calcium.
Hammes, Daniel Markus [Verfasser]. "Data processing, 3D grain boundary modelling and analysis of in-situ deformation experiments using an automated fabric analyser microscope / Daniel Markus Hammes." Mainz : Universitätsbibliothek Mainz, 2017. http://d-nb.info/114906577X/34.
Повний текст джерелаNaik, Pranab Sabitru. "Design and implementation of a fully automated real-time s-parameter imaging system." Thesis, Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B30708758.
Повний текст джерелаSaxena, Shubham. "Nanolithography on thin films using heated atomic force microscope cantilevers." Thesis, Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-08302006-223629/.
Повний текст джерелаBaghi, Quentin. "Optimisation de l’analyse de données de la mission spatiale MICROSCOPE pour le test du principe d’équivalence et d’autres applications." Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLEO003/document.
Повний текст джерелаThe Equivalence Principle (EP) is a cornerstone of General Relativity, and is called into question by the attempts to build more comprehensive theories in fundamental physics such as string theories. The MICROSCOPE space mission aims at testing this principle through the universality of free fall, with a target precision of 10-15, two orders of magnitude better than current on-ground experiments. The satellite carries on-board two electrostatic accelerometers, each one including two test-masses. The masses of the test accelerometer are made with different materials, whereas the masses of the reference accelerometer have the same composition. The objective is to monitor the free fall of the test-masses in the gravitational field of the earth by measuring their differential accelerations with an expected precision of 10-12 ms-2Hz-1/2 in the bandwidth of interest. An EP violation would result in a characteristic periodic difference between the two accelerations. However, various perturbations are also measured because of the high sensitivity of the instrument. Some of them are well defined, e.g. gravitational and inertial gradient disturbances, but others are unmodeled, such as random noise and acceleration peaks due to the satellite environment, which can lead to saturations in the measurement or data gaps. This experimental context requires us to develop suited tools for the data analysis, which are applicable in the general framework of linear regression analysis of time series.We first study the statistical detection and estimation of unknown harmonic disturbances in a least squares framework, in the presence of a colored noise of unknown PSD. We show that with this technique the projection of the harmonic disturbances onto the WEP violation signal can be rejected. Secondly we analyze the impact of the data unavailability on the performance of the EP test. We show that with the worst case before-flight hypothesis (almost 300 gaps of 0.5 second per orbit), the uncertainty of the ordinary least squares is increased by a factor 35 to 60. To counterbalance this effect, a linear regression method based on an autoregressive estimation of the noise is developed, which allows a proper decorrelation of the available observations, without direct computation and inversion of the covariance matrix. The variance of the constructed estimator is close to the optimal value, allowing us to perform the EP test at the expected level even in case of very frequent data interruptions. In addition, we implement a method to more accurately characterize the noise PSD when data are missing, with no prior model on the noise. The approach is based on modified expectation-maximization (EM) algorithm with a smooth assumption on the PSD, and use a statistical imputation of the missing data. We obtain a PSD estimate with an error less than 10-12 ms-2Hz-1/2. Finally, we widen the applications of the data analysis by studying the feasibility of the measurement of the earth's gravitational gradient with MICROSCOPE data. We assess the ability of this set-up to decipher the large scale geometry of the geopotential. By simulating the signals obtained from different models of the earth's deep mantle, and comparing them to the expected noise level, we show that their features can be distinguished
Lopez, Prieto Juan Jose, and Perez Miguel Angel Purizaca. "Modelo tecnológico para optimizar el proceso de detección de leucemia utilizando el algoritmo canny, a través de la microscopía digital." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/655225.
Повний текст джерелаIn Peru, it is estimated that out of 1200 new cases of childhood cancer detected annually, 350 end in death. These estimates are constantly increasing due to the lack of economical and reliable solutions to detect cancer. For instance, 60% of the neoplasms used to detect cancer are analyzed in advanced stages. Therefore, the process of cancer diagnosis in Peru takes almost three times more than in developed countries [1], reducing the chances of a cure. In this situation, we propose a technological model for optimizing the detection process of leukemia using digital microscopy. This model applies the Canny algorithm on a bank of images of normal and abnormal microscopic cells, for the identification of microscopic cells, which will finally be analyzed by a health specialist to provide the final diagnosis. The proposed model includes the capture, digitization, and analysis of microscopic samples. Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained, thus reducing the current diagnosis time from 3 months, to an estimated 32 days.
Tesis
Brunel, Guilhem. "Caractérisation automatique d’organisations cellulaires dans des mosaïques d’images microscopiques de bois." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20225/document.
Повний текст джерелаThis study focuses on biological numeric picture processes. It aims to define and implement new automated measurements at large scale analysis. Moreover, this thesis addresses: The incidence of the proposed methodology on the results reliability measurements accuracy definition and analysis proposed approaches reproducibility limits when applied to plant biology.This work is part of cells organization study, and aims to automatically identify and analyze the cell lines in microscopic mosaic wood slice pictures. Indeed, the study of biological tendencies among the cells lines is necessary to understand the cell migration and organization. Such a study can only be realized from a huge zone of observation of wood plane. To this end, this work proposes:- a new protocol of preparation (slices of sanded wood) and of digitizing of samples, in order to acquire the entire zone of observation without bias,- a novel processing chain that permit the automated cell lines extraction in numeric mosaic pictures,- reliability indexes for each measurement for further efficient statistical analysis.The methods developed during this thesis enable to acquire and treat rapidly an important volume of information. Those data define the basis of numerous investigations, such as tree architectural analysis cell lines following and/or detection of biological perturbations. And it finally helps the analysis of the variability intra- or inter- trees, in order to better understand the tree endogenous growth
Stein, Simon Christoph. "Advanced Data Processing in Super-resolution Microscopy." Doctoral thesis, 2017. http://hdl.handle.net/11858/00-1735-0000-0023-3EE1-4.
Повний текст джерела(11161374), Emma J. Reid. "Multi-Resolution Data Fusion for Super Resolution of Microscopy Images." Thesis, 2021.
Знайти повний текст джерелаApplications in materials and biological imaging are currently limited by the ability to collect high-resolution data over large areas in practical amounts of time. One possible solution to this problem is to collect low-resolution data and apply a super-resolution interpolation algorithm to produce a high-resolution image. However, state-of-the-art super-resolution algorithms are typically designed for natural images, require aligned pairing of high and low-resolution training data for optimal performance, and do not directly incorporate a data-fidelity mechanism.
We present a Multi-Resolution Data Fusion (MDF) algorithm for accurate interpolation of low-resolution SEM and TEM data by factors of 4x and 8x. This MDF interpolation algorithm achieves these high rates of interpolation by first learning an accurate prior model denoiser for the TEM sample from small quantities of unpaired high-resolution data and then balancing this learned denoiser with a novel mismatched proximal map that maintains fidelity to measured data. The method is based on Multi-Agent Consensus Equilibrium (MACE), a generalization of the Plug-and-Play method, and allows for interpolation at arbitrary resolutions without retraining. We present electron microscopy results at 4x and 8x super resolution that exhibit reduced artifacts relative to existing methods while maintaining fidelity to acquired data and accurately resolving sub-pixel-scale features.
Schulte, Lukas. "New Computational Tools for Sample Purification and Early-Stage Data Processing in High-Resolution Cryo-Electron Microscopy." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E54F-B.
Повний текст джерелаWang, Xuguang. "A novel high-K SONOS type non-volatile memory and NMOS HfO₂ Vth instability studies for gate electrode and interface threatment effects." Thesis, 2005. http://hdl.handle.net/2152/2089.
Повний текст джерелаMohideen, Farlin. "2D-3D image registration of scanning electron microscope images and micro-CT volumes." Master's thesis, 2012. http://hdl.handle.net/1885/155845.
Повний текст джерелаTomek, Jakub. "Processing data from two-photon microscope." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-330734.
Повний текст джерелаHeisen, Burkhard Clemens. "New Algorithms for Macromolecular Structure Determination." Doctoral thesis, 2009. http://hdl.handle.net/11858/00-1735-0000-0006-B503-3.
Повний текст джерела