Connections between neurons can be found by checking whether synapses exist at points
of contact, which in turn are determined by neural shapes. Finding these shapes is a special …

Image segmentation plays a crucial role in effective understanding of digital images. Past
few decades saw hundreds of research contributions in this field. However, the research on …

Microbial interactions are one of the major topics of current research due to their great
societal relevance. It is now established that biofilms—associations of microorganisms …

In this paper we present a novel class of so-called Radon-Like features, which allow for
aggregation of spatially distributed image statistics into compact feature descriptors. Radon …

The study of neural circuit reconstruction, ie, connectomics, is a challenging problem in
neuroscience. Automated and semi-automated electron microscopy (EM) image analysis …

Abstract Introduction and objective: Computer Aided Diagnosis (CAD) systems based on
Medical Imaging could support physicians in several fields and recently are also applied in …

We present a novel approach to the problem of neuron segmentation in image volumes
acquired by an electron microscopy. Existing methods, such as agglomerative or correlation …

Background Segmenting cell nuclei in microscopic images has become one of the most
important routines in modern biological applications. With the vast amount of data, automatic …

Connectomics is the study of the full connection matrix of the brain. Recent advances in high-
throughput, high-resolution 3D microscopy methods have enabled the imaging of whole …

With the latest advances in nanotechnology, it became possible to design novel nanoscale
devices and systems with increasing e ciency. The consequence of this fact is an increase in …