title: FIJI Macro 3D ART VeSElecT: 3D Automated Reconstruction Tool for Vesicle Structures of Electron Tomograms.
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.
authors.affiliation: Division of Electron Microscopy, Biocenter, University of Wuerzburg, Wuerzburg, Germany.|Department of Bioinformatics, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
authors.forename: Kristin Verena
authors.initials: KV
authors.lastname: Kaltdorf
authors.affiliation: Molecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Wildau, Germany.
authors.forename: Katja
authors.initials: K
authors.lastname: Schulze
authors.affiliation: Division of Electron Microscopy, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
authors.forename: Frederik
authors.initials: F
authors.lastname: Helmprobst
authors.affiliation: Center for Computational and Theoretical Biology, University of Wuerzburg, Wuerzburg, Germany.
authors.forename: Philip
authors.initials: P
authors.lastname: Kollmannsberger
authors.affiliation: Department of Bioinformatics, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
authors.forename: Thomas
authors.identifier: 0000-0003-1886-7625
authors.initials: T
authors.lastname: Dandekar
authors.affiliation: Division of Electron Microscopy, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Stigloher
mesh_terms: D000465:Algorithms; D000818:Animals; D017173:Caenorhabditis elegans; D055032:Electron Microscope Tomography / Q000379:methods*; D004625:Embryo, Nonmammalian; D021621:Imaging, Three-Dimensional / Q000379:methods*; D013572:Synaptic Vesicles / Q000378:metabolism* / Q000648:ultrastructure*; D015027:Zebrafish