How distance-dependent is graphene as biological sensor?

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

Promotor: T. H. Oosterkamp

Solar energy harnessed by plants and algae has great potential to be converted into biofuels for future generations.

Can we build a biosensor to detect neuroblastoma markers in urine using the chemotaxis system in E. coli?

The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.

Leiden and Jülich researchers discovered an elegant and simple approach to improve the sensitivity of graphene biosensors. These so-called ‘next generation graphene electronic biochemical sensor devices’ are able to detect very low amounts of HIV DNA thanks to their very low electronic noise.

What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?

Free playtime and physical play are of great importance to children's social development. That is the main conclusion of innovative research by developmental psychologists and computer scientists from Leiden University.

As fruit and vegetables ripen, ethylene gas is released. Ethylene also influences the speed at which they ripen. Chemist Tom van Dijkman studied how small and inexpensive sensors can be made that measure ethylene concentrations during transportation. PhD defence 12 May 2016.

Plants use sunlight to perform photosynthesis, but with too much light they have to dim their activity and protect their cells against photo damage. The protein PsbS acts as a light-stress sensor and plays a key role in this process. Article in Nature’s Scientific Reports.

Promotor: E. Bouwman Co-Promotor: S. Bonnet

Metal complexes and 2D materials like graphene were combined to produce structures that can function as sensors.

Single-molecule spectroscopy has become a powerful method for using organic fluorescent molecules in numerous applications.

Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe

Can a proposed new radiofrequency approach to graphene biosensors lead to groundbreaking changes in genome mapping?

PhD Defence

PhD Defence

Machine Learning is becoming a more and more substantial technology for industry.

Can we find new chemical and biological sensing routes on the edge and surface of graphene to improve the potential of graphene to act as a sensor?

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

Leiden physicists and international colleagues from Geneva and Barcelona have confirmed the mechanism that makes magic-angle graphene superconducting. This is a key step in elucidating high-temperature superconductivity, a decades-old mystery central to physics, which may lead to technological break…

Schneider

The goal of the project is the development of stream mining techniques for complex patterns such as graphs. We will try to extend the existing state-of-the-art techniques into two, orthogonal directions: on the one hand, the mining of more complex patterns in streams, such as sequential patterns and…

The surface and the edges of graphene are expected to provide higher sensitivity and specificity in detecting and characterizing single molecules. However fundamental physical limits exist in reaching an ultimate precision in detecting the dynamics of chemical and biological systems. The research in…

Promotores: Prof. Dr. Th.J.C. van Berkel, Prof. Dr. M. van Eck

To deliver a Virtual Sensor tool optimised to exploit the synergy between Sentinels 2 and 3 to allow the consistent retrieval of land surface parameters (Albedo, LAI, and LST); To extend the existing capabilities of land EO data assimilation tools to add capacity to handle data in the thermal domain…

As an alternative to the diving board shaped force sensor, we are now developing a magnetically levitated small superconducting particle – or ‘Lead Zeppelin'' – as our mechanical resonator. We explore routes towards detection of gravity between small objects.

Promotor: Prof.dr. T. Hankemeier, Prof.dr. J.C.T. Eijkel (Twente University)

Promotor: M.A.G.J. Orrit

Microbial rhodopsins are photosensitive pigments implemented in the growth and adaptation of a large population of microorganisms.

High resolution altitude data created by airborne LiDAR allow the investigation of large areas and often inaccessible tracts of land and has the potential to reveal undiscovered archaeological heritage.

Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…

The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

Aim: To develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.

Scientists of Leiden University and Technical University Delft are going to predict how and where defects in sewer systems arise. They are working with light sensitive camera’s, based on new automated multi-sensor inspection with stereo vision and laser range scanning. Their models are going to process…

The long term goal of the Biophysical Organic Chemistry/SSNMR group, headed by Prof. Huub de Groot, is to reach an understanding of structure, dynamics and functional mechanisms of membrane proteins and self-organized biological assemblies and to translate this knowledge into new concepts for nano-devices,…

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

Can process-oriented dynamic testing be applied to everyday educational practice?

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.

In order to optimize treatment, it is necessary to closely monitor and manage the patient’s health status by means of ‘precision diagnostics and targeted therapy’. The specialisation combines the techniques and applications of these sensing (monitoring) and stimulation techniques. The field of sensing…

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…

How do humans construct their self?

Smart digital infrastructures predicated on myriads of sensors distributed in the environment are often rendered as key to contemporary urban security governance to detect risky or suspicious entities before or during a criminal event takes place. At the same time, they often involve surveillance of…

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.

The STW project Energy Efficient Computer-Brain Interaction (principal investigator for LIACS: dr. T.P. Stefanov) has been granted. Funding for LIACS: 1 PhD student + travel/equipment budget, project duration: 4 years.