Computer Simulation of Fluorescence Loss in Photobleaching
Christian Valdemar Hansen / Southern University of Denmark
Fluorescence Loss in Photobleaching (FLIP) is a modern microscopy method for visualization of transport processes in living cells. Although FLIP is widespread, an automated reliable analysis of image data is still lacking. The talk will be based on the paper “Computational Modeling of Fluorescence Loss in Photobleaching” by Chr. V. Hansen, H. J. Schroll and D. Wüstner, that presents a well–posed computational model based on spatially resolved diffusion and transport rates. The model is a reaction–diffusion system, discretized by continuous finite elements. The cell geometry is segmented from FLIP images using an active contours algorithm and the PDE model is subsequently solved in real, two–dimensional geometry. Based on this model, FLIP images are simulated and thus molecular transport in living cells is reliably quantified.
A framework for the fast set-up of robot assembly solutions
Norbert Kruger / SDU - The Maersk Mc-Kinney Moller institute
In my talk, I will present work addressing the problem of efficiently setting-up automated assembly processes with robots. The large set-up times for robot assembly processes that are still required today are the reason for the dominance of manual work in production: only 15% of production is automated today. This then often leads to a move of production into countries with low salaries. The use of robots however could make production more cost-efficient and competitive even if high salaries are paid
Set-up times of robot systems are dominated by a number of sub-issues: First, often specialized grippers are used for grasping and manipulation that allow for good force control. These grippers often need to be manually designed or refined for particular objects occurring in the assembly process. Second, it is often required to assure that the position and orientation of objects is predetermined with a high degree of precision. This usually requires specific and often rather expensive machinery for precise positioning. Third, robot grasps and trajectories (including appropriate forces) need to be taught in or programmed which often is done through menu-oriented control devices, a quite tedious procedure. Finally, there does not exist yet stable mechanisms for the re-use of action experience. Usually, such experience stays in the brain of the engineer who sets-up the robot solutions.
In my talk, I will introduce a framework for the fast set-up of robot assembly solutions. In this framework, we make use of a set of methods which cover computer vision, dynamic simulation, robot control learning, learning by demonstration, dexterous grasping and simulation, one click calibration as well as the re-use of actions stored in an action library. The framework has been developed in particular in the projects IntellAct (2011-2014) and CARMEN (2013-2017).
Realtime 3D Model Acquisition of Deformable Objects - A Step Towards Hyper Flexible Automation
Sebastian Nesgaard Jensen / DTU compute
In my presentation, I will discuss my project and the motivation for starting it. It is a part of a larger initiative called the Manufacturing Academy of Denmark (MADE), an organization which was recently formed by both private and publics partners. Among it s members are Danish Industry, most major danish universities and production companies such as Aalborg Portland, Vestas and Danish Crown. Their goal is to address pressing, contemporary issues with danish production. The setup and development time of automation has been identified as one of the major issues. Automation is very important as it can make Danish industry competitive with other countries where wages for manual labor are much lower. However the huge initial investments required for introducing automated solution deters many. And when a solution has been obtained it can typically only perform a very narrow range of operations. This makes it suitable only for the task which it was initially developed for. As such when one wants to introduce new automation an entirely new solution has to be obtained with a similar investment. In order to resolve this issue, Working Package 8 (WP8) was formed within MADE. Our goal is to develop automation technology that is very flexible while maintaining the efficiency of contemporary solutions. Meaning that a solution only has to be developed once and can automate many tasks. My contribution will be to develop real-time 3D scanning technology aimed at guiding robotics. During my talk, I will discuss this goal as well as my primary case study which is automation of the packaging of meat products at the Danish Crown facilities.
Electrical Simulation of Cochlear Implants based on Patient Specific Shape Modelling
Mario Ceresa / Universitat Pompeu Fabra, Barcelona
Cochlear implants (CI) proved to be very successful at hearing restoration. However, there is a lack of pre-operative measures that predict the outcomes after implantation. We argue that highly detailed computational models that are specifically tailored for a patient can provide useful information to improve the precision of the nervous system electrode interface
In this talk we'll present a procedure to enhance the clinical CT scan taken in the PreOp scenario with a highly detailed computational model. We use a morphological model based on high-definition mCT scans to capture the anatomical variability present in the normal population. A Finite Element problem is defined into this model and then transferred to a real clinical case to augment it and to advice on the output of the surgery.
Measuring and Simulating Head-Related Transfer Functions using 3D Scanning and printing
Søren Laugesen / Oticon Research Centre
All heads and ears are different, but nevertheless most audio devices ? including hearing aids ? are manufactured according to average acoustical data. There are, however, considerable performance improvements to be obtained if the devices were acoustically fitted to the individual. An important part of the individual acoustics is captured in the so-called head-related transfer functions (HRTFs). Direct measurement of HRTFs is possible in the laboratory, but cumbersome in development and completely intractable in clinical practice. Therefore alternative acquisition methods are attractive. Here, the potential of using individual 3D scans is investigated. The scans can either be used to create numerical simulation models to entirely bypass acoustical measurements, or the scans can be used to print 3D models for measurement purposes. The latter approach is particularly useful for children, who find it difficult to sit still for the lengthy HRTF measurements. This talk will address three fundamental questions regarding the viability of using 3D-scans for HRTF acquisition: 1) how accurately can HRTFs be measured under the best possible circumstances? 2) How close to the measured result is an equivalent numerical simulation (using the Finite-Element Method)? 3 How close to the real-human measured result is a measurement taken on a printed model?
Improving tomographic reconstruction
Emil Bøje Lind Pedersen / DTU Energy
In material science, tomography is a useful tool to test and understand hypotheses regarding structural composition. As the engineering efforts approach the nanometer scale, tomography is also pushed to reach higher and higher resolution. On the experimental side, new contrast techniques are developed and high precision is pursued using sample stages with interferometry setups and cryogenic conditions. The experimental efforts should be matched by developments in algorithms and models, in order to extract the maximum information from the tomographic data.
I will present a tomographic alignment model, that aim at reaching higher resolution by reducing projection misalignment without fiducial markers and a segmentation model that includes partial volumes effect to access sub voxel density information.