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Owing to recent developments in CMOS technology, it is now possible to exploit tomographic microscopy at third-generation synchrotron facilities with unprecedented speeds. Despite this rapid technical progress, one crucial limitation for the investigation of realistic dynamic systems has remained: A generally short total acquisition time at high frame rates due to the limited internal memory of av

Praktikanter till vt 2017 /Ambassaden i London Ambassaden i London erbjuder universitets- och högskolestuderande möjlighet till praktik under högst en termin vid enheten för politik, ekonomi och handelsfrämjande, enheten för press, information och kultur. Uppgifter under praktiken 1. Praktik på enheten för politik, ekonomi och handelsfrämjande Praktikanten kommer under handledning att medverka i a

https://www.keg.lu.se/sites/keg.lu.se/files/praktikanter_till_ambassaden_i_london_vt_2017.pdf - 2026-07-07

Henrik Thorlacius is Research Group Leader for this research group

Object segmentation is the first step towards more advanced robotic behaviors, as robots need to localize objects before attempting tasks such as grasping or manipulation. A robot vision system should be able to provide accurate object hypotheses in reasonably high frame rates, using images and possibly also depth data. This work proposes a fixation-based object segmentation algorithm able to cope

On January 1st, 2006, the Swedish legislation on obtaining DNA reference samples from Suspects and the recording of DNA profiles in databases was changed. As a result the number of samples analysed at the Swedish National Laboratory of Forensic Science (SKL) increased from about 4500 in 2005 to more than 25,000 in 2006. To meet this challenge, SKL launched a flew analysis system to create an unbro

This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting the methods inherent low displacement rank, together with the development of suitable Gohberg-Semencul representations, and the use of data dependent trigonometric polynomials, the proposed implementations are shown to off

Antibiotic resistance threatens global public health. Clinical methods that simplify and accelerate resistance diagnosis are urgently needed. Here we describe a function-based antibiotic resistance detection and classification strategy to improve diagnosis. The method identifies resistance enzymes by directly measuring the thermal signal generated when an antibiotic i enzymatically degraded. A sub

The design, R&D, and testing of a new plastic-scintillator detector for Time-of-Flight measurements with relativistic heavy-ion beams are presented. A design approach using 32 independent precise timing measurements of the same physical event is followed. This is different from the conventional scheme, which aims at two or four high-precision measurements. A circular, 27 cm in diameter, BC-420

Understanding the interaction between surfaces and their surroundings is crucial in many materials-science fields, such as catalysis, corrosion, and thin-film electronics, but existing characterization methods have not been capable of fully determining the structure of surfaces during dynamic processes, such as catalytic reactions, in a reasonable time frame. We demonstrate an x-ray-diffraction-ba

As new therapeutic areas in which genetic material is employed, i.e. gene therapy and DNA vaccination, are expanding, a substantial increase in the demand for gene vectors, e.g. plasmid DNA, is foreseen. Chromatography, being a high-resolution method, is considered essential for the purification of gene vectors when high purity is required. Plasmids are large molecules, which cannot penetrate the

We present a new approach to the minimum-cost integral flow problem for small values of the flow. It reduces the problem to the tests of simple multivariate polynomials over a finite field of characteristic two for non-identity with zero. In effect, we show that a minimum-cost flow of value k in a network with n vertices, a sink and a source, integral edge capacities and positive integral edge cos

We present a new SAH guided approach to subdividing triangles as the scene is coarsely partitioned into smaller sets of spatiallycoherent triangles. Our triangle split approach is integrated into the partitioning stage of a fast BVH construction algorithm, butmay as well be used as a stand alone pre-split pass. Our algorithm significantly reduces the number of split triangles comparedto previous m

Multi-atlas segmentation has become a frequently used tool for medical image segmentation due to its outstanding performance. A computational bottleneck is that all atlas images need to be registered to a new target image. In this paper, we propose an intermediate representation of the whole atlas set – an überatlas – that can be used to speed up the registration process. The representation consis