@article{KaltdorfSchulzeHelmprobstetal.2017,
  author    = {Kaltdorf, Kristin Verena and Schulze, Katja and Helmprobst, Frederik and Kollmannsberger, Philip and Dandekar, Thomas and Stigloher, Christian},
  title     = {Fiji macro 3D ART VeSElecT: 3D automated reconstruction tool for vesicle structures of electron tomograms},
  series = {PLoS Computational Biology},
  volume    = {13},
  journal   = {PLoS Computational Biology},
  number    = {1},
  doi       = {10.1371/journal.pcbi.1005317},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-172112},
  year      = {2017},
  abstract  = {Automatic image reconstruction is critical to cope with steadily increasing data from advanced microscopy. We describe here the Fiji macro 3D ART VeSElecT which we developed to study synaptic vesicles in electron tomograms. We apply this tool to quantify vesicle properties (i) in embryonic Danio rerio 4 and 8 days past fertilization (dpf) and (ii) to compare Caenorhabditis elegans N2 neuromuscular junctions (NMJ) wild-type and its septin mutant (unc-59(e261)). We demonstrate development-specific and mutant-specific changes in synaptic vesicle pools in both models. We confirm the functionality of our macro by applying our 3D ART VeSElecT on zebrafish NMJ showing smaller vesicles in 8 dpf embryos then 4 dpf, which was validated by manual reconstruction of the vesicle pool. Furthermore, we analyze the impact of C. elegans septin mutant unc-59(e261) on vesicle pool formation and vesicle size. Automated vesicle registration and characterization was implemented in Fiji as two macros (registration and measurement). This flexible arrangement allows in particular reducing false positives by an optional manual revision step. Preprocessing and contrast enhancement work on image-stacks of 1nm/pixel in x and y direction. Semi-automated cell selection was integrated. 3D ART VeSElecT removes interfering components, detects vesicles by 3D segmentation and calculates vesicle volume and diameter (spherical approximation, inner/outer diameter). Results are collected in color using the RoiManager plugin including the possibility of manual removal of non-matching confounder vesicles. Detailed evaluation considered performance (detected vesicles) and specificity (true vesicles) as well as precision and recall. We furthermore show gain in segmentation and morphological filtering compared to learning based methods and a large time gain compared to manual segmentation. 3D ART VeSElecT shows small error rates and its speed gain can be up to 68 times faster in comparison to manual annotation. Both automatic and semi-automatic modes are explained including a tutorial.},
  language  = {en}
}
@phdthesis{Ehmann2015,
  author    = {Ehmann, Nadine},
  title     = {Linking the active zone ultrastructure to function in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-118186},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Accurate information transfer between neurons governs proper brain function. At chemical synapses, communication is mediated via neurotransmitter release from specialized presynaptic intercellular contact sites, so called active zones. Their molecular composition constitutes a precisely arranged framework that sets the stage for synaptic communication. Active zones contain a variety of proteins that deliver the speed, accuracy and plasticity inherent to neurotransmission. Though, how the molecular arrangement of these proteins influences active zone output is still ambiguous. Elucidating the nanoscopic organization of AZs has been hindered by the diffraction-limited resolution of conventional light microscopy, which is insufficient to resolve the active zone architecture on the nanometer scale. Recently, super-resolution techniques entered the field of neuroscience, which yield the capacity to bridge the gap in resolution between light and electron microscopy without losing molecular specificity. Here, localization microscopy methods are of special interest, as they can potentially deliver quantitative information about molecular distributions, even giving absolute numbers of proteins present within cellular nanodomains. This thesis puts forward an approach based on conventional immunohistochemistry to quantify endogenous protein organizations in situ by employing direct stochastic optical reconstruction microscopy (dSTORM). Focussing on Bruchpilot (Brp) as a major component of Drosophila active zones, the results show that the cytomatrix at the active zone is composed of units, which comprise on average ~137 Brp molecules, most of which are arranged in approximately 15 heptameric clusters. To test for a quantitative relationship between active zone ultrastructure and synaptic output, Drosophila mutants and electrophysiology were employed. The findings indicate that the precise spatial arrangement of Brp reflects properties of short-term plasticity and distinguishes distinct mechanistic causes of synaptic depression. Moreover, functional diversification could be connected to a heretofore unrecognized ultrastructural gradient along a Drosophila motor neuron.},
  subject      = {Taufliege},
  language  = {en}
}