Research on the properties of binary liquid metal systems with lithium as one component - The electrical resistivity of liquid lithium saturated with cesium Final report

Electrical resistivity of liquid lithium saturated with cesiu

Pattern Recognition Software and Techniques for Biological Image Analysis

The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse datasets. Most automated image analysis systems are tailored for specific types of microscopy, contrast methods, probes, and even cell types. This imposes significant constraints on experimental design, limiting their application to the narrow set of imaging methods for which they were designed. One of the approaches to address these limitations is pattern recognition, which was originally developed for remote sensing, and is increasingly being applied to the biology domain. This approach relies on training a computer to recognize patterns in images rather than developing algorithms or tuning parameters for specific image processing tasks. The generality of this approach promises to enable data mining in extensive image repositories, and provide objective and quantitative imaging assays for routine use. Here, we provide a brief overview of the technologies behind pattern recognition and its use in computer vision for biological and biomedical imaging. We list available software tools that can be used by biologists and suggest practical experimental considerations to make the best use of pattern recognition techniques for imaging assays

Motor unit characteristics after selective nerve transfers

Selective nerve transfers are used in biological and bionic extremity reconstruction to restore and improve extremity function. Here, peripheral nerves are rerouted to various target muscles, and thereby the structural composition of motor units is surgically altered. Previous studies have shown a high success rate of successful reinnervation of above 90% after these nerve transfers. In targeted muscle reinnervation, nerve transfers are applied to reroute amputated nerves to more proximal muscles in the stump and thereby increase the number of prosthetic control signals. Because donor nerves physiologically supply multiple muscles but are transferred to a single target muscle, the innervation ratio between donor and recipient is substantially altered. This changes the characteristics of the motor unit of the target muscles that we extensively investigated in a novel nerve transfer animal model. In this chapter, we illustrate this model, the effect of nerve transfers on motor unit physiology, as well as the implications on improving the interface between man and machine in prosthetic extremity reconstruction. In addition, first results on the effect of targeted muscle reinnervation on human motor unit physiology are described