719 zoekresultaten voor “high boon deeltje” in de Publieke website
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Rolf Boon
ICT Shared Service Centre
r.p.boon@issc.leidenuniv.nl | +31 71 527 8888
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Gijsbert Boon
Wiskunde en Natuurwetenschappen
g.c.boon@liacs.leidenuniv.nl | +31 71 527 2727
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Camiel Boon
Faculteit Geneeskunde
c.j.f.boon@lumc.nl |
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Emily Boon
Faculteit der Geesteswetenschappen
e.m.boon@hum.leidenuniv.nl | +31 71 527 2727
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Errol Boon
Faculteit der Geesteswetenschappen
e.m.boon.3@hum.leidenuniv.nl | +31 71 527 2727
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Koen van Deelen
Wiskunde en Natuurwetenschappen
deelen@physics.leidenuniv.nl | +31 71 527 5463
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Klaas Boonen
Faculteit Rechtsgeleerdheid
k.boonen@law.leidenuniv.nl | +31 71 527 2727
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Marte Boonen
Faculteit der Geesteswetenschappen
m.c.h.boonen@hum.leidenuniv.nl | +31 71 527 2727
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J.J. Boon
Bestuursbureau
jj.boon@bb.leidenuniv.nl | +31 71 527 3216
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Simone van der Boon
Faculteit Rechtsgeleerdheid
s.p.van.der.boon@law.leidenuniv.nl | +31 71 527 7713
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Gert-Jan Boon
Faculteit Rechtsgeleerdheid
j.m.g.j.boon@law.leidenuniv.nl | +31 71 527 6865
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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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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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High-Contrast Imaging of Protoplanetary Disks
To study how planetary systems come into existence we study much younger systems still in formation.
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High-contrast spectroscopy of exoplanet atmospheres
More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.
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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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Neutral outflows in high-redshift dusty galaxies
Outflows are crucially important for the gas budget and evolution of luminous star-forming galaxies and AGNs, with observed mass outflow rates of the same order as the star formation rate. Greater star formation and black hole growth lead to more intense feedback and outflows, resulting in self-regulated…
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Ingrid Tieken-Boon van Ostade
Faculteit der Geesteswetenschappen
i.m.tieken@hum.leidenuniv.nl | +31 71 527 2727
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High-throughput quantification and unambiguous identification for metabolomics
The challenge of achieving fast quantification in metabolomics is the presence of severe matrix effects during the MS analysis of complex samples.
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High-contrast imaging polarimetry of exoplanets and circumstellar disks
Understanding the formation and evolution of planetary systems is one of the most fundamental challenges in astronomy. To directly image and study young exoplanets and the circumstellar disks they form from, dedicated high-contrast imaging instruments are built.
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High-throughput profiling of small molecules using mass spectrometry
Promotor: Prof.dr. T. Hankemeier
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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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Silicon pore optics for high-energy optical systems
This thesis examines silicon pore optics (SPO), a technology that exploits silicon wafers from the semiconductor industry to create extremely high quality X-ray optics, by studying its manufacturing process, applications, and prospects.
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High-resolution integral-field spectroscopy of exoplanets
This thesis describes the implementation and on-sky demonstration of high-resolution integral-field spectroscopy for extreme adaptive optics systems that are used to find and characterize exoplanets.
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Disorder and interactions in high-temperature superconductors
This thesis is devoted to an in-depth examination of the various effects of disorder in the cuprate high-temperature superconductors.
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Tailored care for children at high risk for problem behaviour
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Painting with starlight : optical techniques for the high-contrast imaging of exoplanets
This thesis describes the development and validation of new high-contrast imaging techniques, with the ultimate goal of enabling the next generation of instruments for ELT-class telescopes to directly image Earth-like extra-solar planets orbiting around nearby stars.
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Exploring strange new worlds with high-dispersion spectroscopy
Until the 1990s, the only known planets were those in our Solar System. Three decades later, several thousand exoplanets have been discovered orbiting stars other than the Sun, and substantial efforts have been made to explore these strange new worlds through spectroscopic analyses of their atmosphe…
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Metals in the diffuse gas around high-redshift galaxies
Promotores: Prof.dr. J. Schaye & Prof.dr. C. Steidel (California Institute of Technology)
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Microcoil MRI of Plants and Algae at Ultra-High Field: An exploration of metabolic imaging
This thesis investigates the relations between metabolism and anatomy through the use of Magnetic Resonance Imaging (MRI).
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof.dr. A.H. Meijer
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Monitoring Alzheimer's disease in transgenic mice with ultra high field magnetic resonance imaging
Promotor: Prof.dr. H.J.M de Groot, Co-Promotor: A. Alia
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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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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Prying eyes on radio skies: pushing the high-resolution low-frequency frontier with LOFAR
In this thesis we push the boundaries of high-resolution imaging at radio frequencies between 100 and 200 MHz. Using the International LOFAR Telescope that spans across Europe we achieve sub-arcsecond angular resolution.
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Winds in the AGN environment: new perspectives from high-resolution X-ray spectroscopy
Promotor: J.S. Kaastra Co-promotor: E. Constantini
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confronting hydrodynamic simulations with new observations of high-density environments
Galaxies in the Universe are distributed along the intricate framework of the Cosmic Web. Groups and clusters of galaxies comprise the densest regions in this network, and therefore, are excellent cosmic laboratories to study different aspects of galaxy evolution in extreme environments.
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sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Feedback from deeply embedded low- and high-mass protostars. Surveying hot molecular gas with Herschel
Promotor: Prof.dr. E.F. van Dishoeck, Co-Promotor: G.J. Herczeg
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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Néron models in high dimension: nodal curves, Jacobians and tame base change
We describe certain birational modifications of nodal relative curves over a regular base of arbitrary dimension.
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stimulation reduces spontaneous but not induced negative thought intrusions in high worriers
Transcutaneous vagus nerve stimulation (tVNS) was tested in chronic worriers. tVNS may reduce spontaneously occurring negative thought intrusions. After a worry induction, there was no longer an effect of tVNS. tVNS did not affect physiological responding to worrying.
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Radio galaxies at low frequencies: high spatial and spectral resolution studies with LOFAR
Promotor: H.J.A. Röttgering, Co-promotor: G.K. Miley
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It's just a phase: High-contrast imaging with patterned liquid-crystal phase plates to facilitate characterization of exoplanets
This thesis aims to demonstrate how the achromatic nature and design flexibility of liquid-crystal optics can be used to improve high-contrast imaging instruments to facilitate detailed exoplanet characterization.
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High throughput microscopy of mechanism-based reporters in druginduced liver injury
Promotor: B. van de Water
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modeling of the hot Universe: Advances and challenges in high-resolution X-ray spectroscopy
Hot astrophysical plasma is ubiquitous in the Universe, from comets in our Solar system to the largest scale structures -- the cosmic web filaments. These hot plasmas, with the temperature of a few millions of degrees, are often observed in the X-ray wavelength range.
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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revealing the operation of AGNs in galaxy clusters with high-resolution radio observations
Following the Big Bang, structure in the Universe started collapsing under the force of gravity. This resulted in the formation of the first stars, galaxies and clusters of galaxies.
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Paving the path between low- and high-mass star formation: dynamics probed by Herschel far-infrared spectroscopy
Promotor: Prof.dr. E.F. van Dishoeck, Prof.dr. F.F.S. van der Tak (RUG)