310 zoekresultaten voor “3d image reconstruction” in de Publieke website
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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A new method to reconstruct the structure from crystal images
Promotor: J.P. Abrahams, Co-promotor: T. Grüne
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Squaramide-based supramolecular materials for 3D cell culture applications
A new type of tripodal squaramide-based supramolecular hydrogels is developed and studied.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Phenotypic screening with 3D cell-based assays
Traditional drug discovery approaches have been hampered by (in vitro) cell-culture models that poorly represent the situation in the human body.
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Microfluidic 3D cell culture for high throughput screening
There is an urgent need for more physiologically relevant cell culture methods to guide compound selection in pre-clinical stages of the drug development pipeline.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Discrete tomography for integer-valued functions
Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg
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Studenten in Editie NL over printen van huid met 3D printer
Vier Leidse studenten die de masterspecialisatie Science Based Business volgen, bedachten een concept om met een 3D Bioprinter menselijke huid te produceren. Slachtoffers van brandwonden zouden dankzij Skinprint minder operaties nodig hebben en er minder littekens aan over houden.
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Rachel Schats
Rachel Schats is Assistant Professor in Human Osteoarchaeology in the Faculty of Archaeology, Leiden University.
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Rachel Doherty wint de LION Image Award met viraal microbootje
De jaarlijkse LION Image award gaat naar de foto van een 30 micrometer lang 3D-geprint bootje dat in oktober viraal ging, ingediend door Rachel Doherty van de groep van Daniela Kraft.
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Sander Blok wint LION Image Award 2017
Sander Blok heeft de derde editie gewonnen van de jaarlijkse LION Image Award. Hij maakte een kleurrijke afbeelding van gouden nanodeeltjes met een lage-energie elektronenmicroscoop.
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Gaia toont de Melkweg in 3D
Vanaf een lanceerinstallatie in Frans Guyana gaat op 19 december de Europese satelliet Gaia de ruimte in om een zeer gedetailleerde driedimensionale kaart van het Melkwegstelsel maken. De Leidse astronoom Anthony Brown leidt het consortium dat de vloed aan meetgegevens gaat verwerken.
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Optimization and Application of 3D Reconstruction for Optical Projection Tomography
Promotie
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LION Image Award naar Escheriaans grafeen
De plaat Electronic Escher, een kleurige psychedelische weergave van de elektronische structruur van grafeen, is de winnaar geworden van de LION Image Award 2019. Gefeliciteerd, Vera Janssen en Tobias de Jong.
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Mazène Hochane en Xueying Fan winnen LION Image Award 2018
Mazène Hochane en Xueying Fan hebben samen de vierde editie gewonnen van de jaarlijkse LION Image Award. Ze maakten een gedetailleerde kleurenfoto van een nier in ontwikkeling.
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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Identification of novel targets in prostate cancer progression
Promotor: B. van de Water, Co-promotor: E.H.J. Danen
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Nieuwe scanmethode keert objecten razendsnel binnenstebuiten
Live meekijken met een CT-scan in plaats van achteraf de beelden pas te analyseren. Als het aan de Leidse wiskundige Jan-Willem Buurlage ligt, is dat binnenkort realiteit. Hij ontwikkelt methodes om de algoritmes achter 3D-scans sneller te maken. Best een uitdaging: ‘Net als wiskundigen zijn computers…
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Tijm Lanjouw
Faculteit Archeologie
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Laser-generated toroidal helium plasmas
This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.
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Aspects of Record Linkage
Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft
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Quantitative Super-Resolution Microscopy
Promotor: T. Schmidt
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Advanced in vitro models for studying drug induced toxicity
Promotor: B.van de Water, Co-promotor: L.S.Price
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Laboratoria Digital Archaeology
De onderzoeksgroep Digital Archaeology beheert twee computerlaboratoria voor verschillende doeleinden: een onderwijslab en een onderzoekslab.
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Prior information and variational Bayes in high dimensional statistical network inference
This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).
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Real-time tomographic reconstruction
Promotie
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Psychopathy in 3D
Promotie
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The evolution of shell form in tropical terrestrial microsnails
Promotor: Prof.dr. M. Schilthuizen
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Efficient and Automatic Tomographic Reconstruction Algorithms
Promotie
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Filter-based reconstruction methods for tomography
Promotie
- Symposium: The digital reconstruction of the crucifixion of the Lindau master (ca. 1425)
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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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A computational study of structural and excitonic properties of chlorosomes
The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…
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Evolutionary diversification and historical biogeography of Orchidaceae in Central America with emphasis on Costa Rica and Panama
In this thesis, I targeted the orchid genus Lepanthes, one of the six genera of angiosperms that surpasses 1,000 species in the Neotropics, as a study model to investigate the evolutionary processes that promoted species diversifications.
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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Professionele leergemeenschappen voor begeleiders van startende leraren
Startende leraren hebben begeleiding nodig om uitval uit het beroep te voorkomen. Begeleiders van startende leraren ontwikkelen in een professionele leergemeenschap begeleidingstrajecten (inductieprogramma’s) voor startende leraren van hun eigen school.
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Visual Revolutions in the Middle East
Special Issue in: Visual Anthropology, Volume 29, Issue 3, 2016
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Fast Acquisition and Reconstruction Techniques in MRI
Promotie