Dissertationen zum Thema „Transport imaging“
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Norris, David G. „Diffusion imaging of the brain“. Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196833.
Böhm, Andreas. „Imaging of light induced carrier transport“. [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9820898.
Winchell, Stephen D. „Transport imaging in the one dimensional limit“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Jun%5FWinchell.pdf.
Lock, John George. „Dynamic imaging of post-Golgi protein transport /“. [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19397.pdf.
Waller, Laura A. (Laura Ann). „Computational phase imaging based on intensity transport“. Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60821.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 133-150).
Light is a wave, having both an amplitude and a phase. However, optical frequencies are too high to allow direct detection of phase; thus, our eyes and cameras see only real values - intensity. Phase carries important information about a wavefront and is often used for visualization of biological samples, density distributions and surface profiles. This thesis develops new methods for imaging phase and amplitude from multi-dimensional intensity measurements. Tomographic phase imaging of diffusion distributions is described for the application of water content measurement in an operating fuel cell. Only two projection angles are used to detect and localize large changes in membrane humidity. Next, several extensions of the Transport of Intensity technique are presented. Higher order axial derivatives are suggested as a method for correcting nonlinearity, thus improving range and accuracy. To deal with noisy images, complex Kalman filtering theory is proposed as a versatile tool for complex-field estimation. These two methods use many defocused images to recover phase and amplitude. The next technique presented is a single-shot quantitative phase imaging method which uses chromatic aberration as the contrast mechanism. Finally, a novel single-shot complex-field technique is presented in the context of a Volume Holographic Microscopy (VHM). All of these techniques are in the realm of computational imaging, whereby the imaging system and post-processing are designed in parallel.
by Laura A. Waller.
Ph.D.
Bos, Kevin J., K. Gordon Wilson und Benedict Newling. „Velocity-sensitised Magnetic Resonance Imaging of foams“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184242.
Maximov, Ivan I., Farida Grinberg und Nadim Jon Shah. „Robust estimator framework in diffusion tensor imaging“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184368.
Salameh, Wassim, Sébastien Leclerc, Didier Stemmelen und Jean-Marie Escanyé. „NMR imaging of water flow in packed beds“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-186395.
Steele, Gary Alexander. „Imaging transport resonances in the quantum Hall effect“. Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34401.
MIT Institute Archives copy: p. 201-231 bound in reverse order.
Includes bibliographical references (p. 213-231).
We image charge transport in the quantum Hall effect using a scanning charge accumulation microscope. Applying a DC bias voltage to the tip induces a highly resistive ring-shaped incompressible strip (IS) in a very high mobility 2D electron system (2DES). The IS moves with the tip as it is scanned, and acts as a barrier that prevents charging of the region under the tip. At certain tip positions, short-range disorder in the 2DES creates a quantum dot island inside the IS that enables breaching of the IS barrier by means of resonant tunneling through the island. Striking ring shapes appear in the images that directly reflect the shape of the IS created in the 2DES by the tip. Through the measurements of leakage across the IS, we extract information about energy gaps in the quantum Hall system. Varying the magnetic field, the tunneling resistance of the IS varies significantly, and takes on drastically different values at different filling factors. Measuring this tunneling resistance provides a unique microscopic probe of energy gaps in the quantum Hall system. Simulations of the interaction of the tip with the quantum Hall liquid show that native disorder from remote ionized donors can create the islands. The simulations predict the shape of the IS created in the 2DES in the presence of disorder, and comparison of the images with simulation results provides a direct and quantitative view of the disorder potential of a very high mobility 2DES. We also draw a connection to bulk transport. At quantum Hall plateaus, electrons in the bulk are localized by a network of ISs.
We have observed that the conductance across one IS is drastically enhanced by resonant tunneling through quantum dot islands. Similarly, this resonant tunneling process will dramatically enhance the conductance of certain hopping paths in the localized bulk and could play an important role in dissipative transport at quantum Hall plateaus.
by Gary Alexander Steele.
Ph.D.
Dean, Ryan J., Timothy Stait-Gardner, Simon J. Clarke, Suzy Y. Rogiers und William S. Pricea. „Diffusion Tensor Imaging (DTI) studies of the grape berry“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184852.
Granick, Steve. „Surprises from single-particle imaging of passive and active diffusion“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-179310.
Bos, Kevin J., K. Gordon Wilson und Benedict Newling. „Velocity-sensitised Magnetic Resonance Imaging of foams“. Diffusion fundamentals 18 (2013) 5, S. 1-4, 2013. https://ul.qucosa.de/id/qucosa%3A13711.
Maximov, Ivan I., Farida Grinberg und Nadim Jon Shah. „Robust estimator framework in diffusion tensor imaging“. Diffusion fundamentals 18 (2013) 10, S. 1-6, 2013. https://ul.qucosa.de/id/qucosa%3A13717.
Titze, Tobias, Christian Chmelik, Dirk Enke, Roger Gläser, Jens Kullmann, Jörg Kärger, Lutz Prager und Jens Weitkamp. „Exploring diffusion and reaction in nanoporous catalysts by IR micro-imaging“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-183231.
Heidernätsch, Mario, Michael Bauer, Daniela Täuber, Günter Radons und Christian von Borcyskowski. „An advanced method of tracking temporarily invisible particles in video imaging“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-191774.
Parasoglou, Prodromos, Andrew J. Sederman, John Rasburn, Hugh Powell und Michael L. Johns. „Optimal k-space sampling for single point imaging of transient systems“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192138.
Bhallamudi, Vidya Praveen. „Spins in heterogeneous landscapes: Consequences for transport and imaging“. The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871981.
Dorcéna, Cassandre Jenny. „Nanoparticles for Biomedical Imaging and Biomolecular Transport and Manipulation“. The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408915572.
Salameh, Wassim, Sébastien Leclerc, Didier Stemmelen und Jean-Marie Escanyé. „NMR imaging of water flow in packed beds“. Diffusion fundamentals 14 (2010) 5, S. 1-5, 2010. https://ul.qucosa.de/id/qucosa%3A13854.
Tao, Lian, Anna Tao, Robert G. Thorne und Charles Nicholson. „Integrative optical imaging of molecular diffusion in strong light scattering brain tissue“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-183663.
Nakagawa, Satoshi, Kazuyuki Chihara und Kuniyasu Ogawa. „2D Projective imaging of water concentration profiles in adsorption columns by MRI“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-185019.
Vogel, Patrick, Martin Andreas Rückert, Peter Klauer, Walter H. Kullmann, Peter Michael Jakob und Volker Christian Behr. „Traveling Wave Magnetic Particle Imaging for determining the iron-distribution in rock“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-179243.
Dean, Ryan J., Timothy Stait-Gardner, Simon J. Clarke, Suzy Y. Rogiers und William S. Pricea. „Diffusion Tensor Imaging (DTI) studies of the grape berry“. Diffusion fundamentals 16 (2011) 29, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13762.
Kossel, Elke, Christian Deusner, Nikolaus Bigalke und Matthias Haeckel. „Magnetic Resonance Imaging of gas hydrate formation and conversion at sub-seafloor conditions“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184430.
Luber, David R. „Direct imaging of minority charge carrier transport in luminescent semiconductors“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FLuber.pdf.
Thesis Advisor(s): Nancy M. Haegel, Sherif Michael. Includes bibliographical references (p.55-56). Also available online.
Ang, Goon Hwee. „Transport imaging for the study of nanowires and related nanostructures“. Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FAng.pdf.
Thesis Advisor(s): Haegel, Nancy M. ; Luscombe, James. "December 2007." Description based on title screen as viewed on January 17, 2008. Includes bibliographical references (p. 83-85). Also available in print.
Ong, Zi Xuan. „Transport imaging of multi-junction and CIGS solar cell materials“. Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/10665.
Naik, Nikhil (Nikhil Deepak). „Multibounce light transport analysis using ultrafast imaging for material acquisition“. Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76529.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 92-96).
This thesis introduces a novel framework for analysis of multibounce light transport using time-of-flight imaging for the applications of ultrafast reflectance acquisition and imaging through scattering media. Using ultrafast imaging and ultrafast illumination, we analyze light indirectly scattered off materials to provide new insights into the important problem of material acquisition. We use an elegant matrix based representation of light transport, which enables scene reconstruction using standard optimization techniques. We demonstrate the accuracy and efficiency of our methods using various simulations as well as an experimental setup. In particular, we develop the concept of 'in the wild' reflectance estimation using ultrafast imaging. We demonstrate a new technique that allows a camera to rapidly acquire reflectance properties of objects from a single viewpoint, over relatively long distances and without encircling equipment. We measure material properties by indirectly illuminating an object by a laser source, and observing its reflected light indirectly using a time-of-fight camera. As compared to lengthy or highly calibrated reflectance acquisition techniques, we demonstrate a device that can rapidly and simultaneously capture meaningful reflectance information of multiple materials. Furthermore, we use this framework to develop a method for imaging through scattering media using ultrafast imaging. We capture the diffuse scattering in the scene with a time-of- flight camera and analyze the multibounce light transport to recover albedo and depth information of planar objects hidden behind a diffuser. The methods developed in this thesis using ultrafast imaging can spur research with novel real-time applications in computer graphics, medical imaging and industrial photography.
by Nikhil Naik.
S.M.
Grange, Michael. „Integrative imaging and electron cryo-tomography of viral transport mechanisms“. Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:704e3459-053a-4a1c-b95a-9aaeca809cb2.
Vogel, Patrick, Martin Andreas Rückert, Peter Klauer, Walter H. Kullmann, Peter Michael Jakob und Volker Christian Behr. „Traveling Wave Magnetic Particle Imaging for determining the iron-distribution in rock: Traveling Wave Magnetic Particle Imaging for determining the iron-distribution in rock“. Diffusion fundamentals 22 (2014) 12, S.1-5, 2014. https://ul.qucosa.de/id/qucosa%3A13518.
Granick, Steve. „Surprises from single-particle imaging of passive and active diffusion“. Diffusion fundamentals 20 (2013) 1, S. 1, 2013. https://ul.qucosa.de/id/qucosa%3A13521.
Norris, David G. „Diffusion imaging of the brain: technical considerations and practical applications“. Diffusion fundamentals 2 (2005) 115, S. 1-12, 2005. https://ul.qucosa.de/id/qucosa%3A14454.
Nguyen, Thoa T. M., Andrew J. Sederman und Lynn F. Gladden. „Characterisation of pulsing flow in trickle-bed reactors using ultra-fast magnetic resonance imaging“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192286.
Titze, Tobias, Christian Chmelik, Dirk Enke, Roger Gläser, Jens Kullmann, Jörg Kärger, Lutz Prager und Jens Weitkamp. „Exploring diffusion and reaction in nanoporous catalysts by IR micro-imaging“. Diffusion fundamentals 20 (2013) 58, S. 1-2, 2013. https://ul.qucosa.de/id/qucosa%3A13635.
Heidernätsch, Mario, Michael Bauer, Daniela Täuber, Günter Radons und Christian von Borcyskowski. „An advanced method of tracking temporarily invisible particles in video imaging“. Diffusion fundamentals 11 (2009) 111, S. 1-2, 2009. https://ul.qucosa.de/id/qucosa%3A14085.
Parasoglou, Prodromos, Andrew J. Sederman, John Rasburn, Hugh Powell und Michael L. Johns. „Optimal k-space sampling for single point imaging of transient systems“. Diffusion fundamentals 10 (2009) 13, S. 1-3, 2009. https://ul.qucosa.de/id/qucosa%3A14104.
Aaron, Douglas Scott. „Transport in fuel cells: electrochemical impedance spectroscopy and neutron imaging studies“. Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34699.
Rauscher, Brian Craig. „In-situ optical imaging of carrier transport in multilayer solar cells“. Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483453.
Thesis Advisor(s): Haegel, Nancy M. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p. 41-42). Also available in print.
Zamani, Sahar. „Magnetic resonance imaging characterisation of water transport in cement-based materials“. Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606806.
Lauerer, Alexander, Philipp Zeigermann, Jörg Lenzner, Christian Chmelik, Rustem Valiullin und Jörg Kärger. „IR Micro-imaging of mesoporous silicon as a model system for the investigation of hysteresis phenomena“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-183825.
Xiao, Fanrong, Charles Nicholson und Sabina Hrabetova. „Anisotropic diffusion of flexible random-coil polymers measured in brain extracellular space by integrative optical imaging“. Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-194244.
Tao, Lian, Anna Tao, Robert G. Thorne und Charles Nicholson. „Integrative optical imaging of molecular diffusion in strong light scattering brain tissue“. Diffusion fundamentals 20 (2013) 78, S. 1, 2013. https://ul.qucosa.de/id/qucosa%3A12614.
Nakagawa, Satoshi, Kazuyuki Chihara und Kuniyasu Ogawa. „2D Projective imaging of water concentration profiles in adsorption columns by MRI“. Diffusion fundamentals 16 (2011) 42, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13777.
Freeman, Will. „Imaging transport : optical measurements of diffusion and drift in semiconductor materials and devices /“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FFreeman.pdf.
Fraissard, Jacques. „NMR imaging as a tool for studying the diffusion and co-diffusion of gases in zeolite catalysts“. Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196370.
Elsner, Paul Heinrich. „Monitoring intertidal sedimentation dynamics using airborne imaging spectroscopy“. Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609749.
Kossel, Elke, Christian Deusner, Nikolaus Bigalke und Matthias Haeckel. „Magnetic Resonance Imaging of gas hydrate formation and conversion at sub-seafloor conditions“. Diffusion fundamentals 18 (2013) 15, S. 1-4, 2013. https://ul.qucosa.de/id/qucosa%3A13724.
Sigmund, Eric, Ravinder Regatte, Mark Schweitzer, Hyungjoon Cho und Yi-Qiao Song. „In vivo imaging of signal decay due to diffusion in the internal field in human knee trabecular bone“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192231.
Xiao, Fanrong, Charles Nicholson und Sabina Hrabetova. „Anisotropic diffusion of flexible random-coil polymers measured in brain extracellular space by integrative optical imaging: Anisotropic diffusion of flexible random-coil polymers measured inbrain extracellular space by integrative optical imaging“. Diffusion fundamentals 6 (2007) 83, S. 1-2, 2007. https://ul.qucosa.de/id/qucosa%3A14262.
Ramanan, Baheerathan. „Quantifying mass transport processes in environmental systems using magnetic resonance imaging (MRI)“. Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2974/.