The imaging group focuses on bio-imaging, image analysis and visualization.

This specialisation focuses on two important trends in health care: early diagnosis and developing the most targeted patient-specific treatment possible with the shortest possible recovery time and minimal side effects.

The rapid advances in imaging technology enable to see inside the body with ever increasing detail.

A computer can look at, and learn from, many more images than a human specialist. AI systems are rapidly becoming indispensable for medical and biological applications. But they still have to learn how to explain their decisions.

To study how planetary systems come into existence we study much younger systems still in formation.

On the basis of the characteristic aspects of a picture, certain computers can tell us what the picture is showing. They can learn this in the same way that young children are able to learn to recognize images. Further improving these techniques opens the way to a whole range of new applications. Biology…

On the basis of the characteristic aspects of a picture, certain computers can tell us what the picture is showing. They can learn this in the same way that young children are able to learn to recognize images. Further improving these techniques opens the way to a whole range of new applications. Biology…

Promotores: S.J. Edixhoven, P.Parent

Promotor: M.A.G.J. Orrit

Image segmentation is a fundamental task in computer vision, with applications ranging from medical diagnostics to archaeological research.

In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

How and to what extent the historic house (re-)constructs identity through image-making in China.

In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…

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.

This thesis focuses on the study of transient and variable radio sources in the universe.

Zebrafish is an excellent model organism for studying various human diseases. Due to opaqueness of the adult phase, in vivo studies are restricted to early embryonic stages. This raises the need for rapid sensitive and non-invasive in vivo imaging methods to follow developmental processes, not only…

From surface science towards industrial practice using high-pressure scanning tunneling microscopy.

One of the ways of understanding another culture better is to examine what people experience when they read a text, or look at an image. Leiden experts have a lot of knowledge in this field, for example on culture in ancient Japan.

In this research group, led by Dr. Joost Beltman, the aim is to employ mathematical and computational dynamical modelling approaches in order to quantitatively and mechanistically understand the dynamical behaviour and regulation of intracellular networks of genes, proteins and metabolites as well as…

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.

Promotor: Christoph U. Keller, Co-promotores: Matthew A. Kenworthy, Frans Snik

One of the key limitations of the direct imaging of exoplanets at small angular separations are quasi-static speckles that originate from evolving non-common path aberrations (NCPA) to which the primary adaptive optics system is inherently blind. The main focus of this thesis is the development and…

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This thesis investigates the relations between metabolism and anatomy through the use of Magnetic Resonance Imaging (MRI).

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

The aim of this project is to study what makes an act or form of violence a specifically political reality.

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.

Promotor: J.P. Abrahams, Co-promotor: T. Grüne

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.

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

The aim of this research is to investigate the informative potential of drawings and decorations in Italian secular cantata manuscripts from the seventeenth century.

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.

To overcome the limitations of slow and error-prone quality control, this research develops an advanced 3D imaging method for the rapid and reliable detection of internal defects in critical sectors.

How do documentary moving images and fictional narratives involve and evolve each other?

Promotor: C.U. Keller, Co-Promotor: F. Snik

Human and animal cells are very complex: very different chemical processes are going on at the same time, but they are separated from each other because the cells are divided in compartments. These compartments may also have a profound effect on the potential efficacy of therapeutics, because the drug…

Joost Batenburg is a mathematician and computer scientist who works to build bridges to other disciplines. He hopes to bring intelligent software to fields where it can make a difference. Conversely, he also seeks connections to the disciplines that are needed to make AI a success.

In his dissertation Gabriel Paiuk explores the variable ways in which what is heard is formed. To address this, he postulates a novel concept of sound image in a post-anthropocentric context in which both mind and material artefacts are instances across which the image occurs, rather than hosts on which…

This project aims to study the Aesopian fable from 1500 to the present day in its complex relationship between text, illustration and education, adopting a broad, transnational perspective.

In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.

The most famous monument of the Dutch Golden Age is undoubtedly the Amsterdam Town Hall by architect Jacob van Campen inaugurated in 1655.

Promotor: H.J.M. de Groot, Co-Promotor: A. Alia

A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.