@inproceedings{PaetschBaumBressleretal.2013, author = {Paetsch, Olaf and Baum, Daniel and Breßler, David and Ehrig, Karsten and Meinel, Dietmar and Prohaska, Steffen}, title = {3-D-Visualisierung und statistische Analyse von Rissen in mit Computer-Tomographie untersuchten Betonproben}, booktitle = {Tagungsband der DGZfP Jahrestagung 2013}, year = {2013}, language = {de} } @inproceedings{PaetschBaumEhrigetal.2012, author = {Paetsch, Olaf and Baum, Daniel and Ehrig, Karsten and Meinel, Dietmar and Prohaska, Steffen}, title = {Automated 3D Crack Detection for Analyzing Damage Processes in Concrete with Computed Tomography}, booktitle = {Proceedings of Conference on Industrial Computed Tomography}, pages = {321 -- 330}, year = {2012}, language = {en} } @misc{CostaMantonOstrovskyetal.2016, author = {Costa, Marta and Manton, James D. and Ostrovsky, Aaron D. and Prohaska, Steffen and Jefferis, Gregory S.X.E.}, title = {NBLAST: Rapid, sensitive comparison of neuronal structure and construction of neuron family databases}, issn = {1438-0064}, doi = {10.1016/j.neuron.2016.06.012}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-59672}, year = {2016}, abstract = {Neural circuit mapping is generating datasets of 10,000s of labeled neurons. New computational tools are needed to search and organize these data. We present NBLAST, a sensitive and rapid algorithm, for measuring pairwise neuronal similarity. NBLAST considers both position and local geometry, decomposing neurons into short segments; matched segments are scored using a probabilistic scoring matrix defined by statistics of matches and non-matches. We validated NBLAST on a published dataset of 16,129 single Drosophila neurons. NBLAST can distinguish neuronal types down to the finest level (single identified neurons) without a priori information. Cluster analysis of extensively studied neuronal classes identified new types and unreported topographical features. Fully automated clustering organized the validation dataset into 1052 clusters, many of which map onto previously described neuronal types. NBLAST supports additional query types including searching neurons against transgene expression patterns. Finally we show that NBLAST is effective with data from other invertebrates and zebrafish.}, language = {en} } @article{CostaMantonOstrovskyetal.2016, author = {Costa, Marta and Manton, James D. and Ostrovsky, Aaron D. and Prohaska, Steffen and Jefferis, Gregory S.X.E.}, title = {NBLAST: Rapid, Sensitive Comparison of Neuronal Structure and Construction of Neuron Family Databases}, volume = {91}, journal = {Neuron}, number = {2}, doi = {10.1016/j.neuron.2016.06.012}, pages = {293 -- 311}, year = {2016}, abstract = {Neural circuit mapping is generating datasets of tens of thousands of labeled neurons. New computational tools are needed to search and organize these data. We present NBLAST, a sensitive and rapid algorithm, for measuring pairwise neuronal similarity. NBLAST considers both position and local geometry, decomposing neurons into short segments; matched segments are scored using a probabilistic scoring matrix defined by statistics of matches and non-matches. We validated NBLAST on a published dataset of 16,129 single Drosophila neurons. NBLAST can distinguish neuronal types down to the finest level (single identified neurons) without a priori information. Cluster analysis of extensively studied neuronal classes identified new types and unreported topographical features. Fully automated clustering organized the validation dataset into 1,052 clusters, many of which map onto previously described neuronal types. NBLAST supports additional query types, including searching neurons against transgene expression patterns. Finally, we show that NBLAST is effective with data from other invertebrates and zebrafish.}, language = {en} } @misc{RedemannLantzschLindowetal.2018, author = {Redemann, Stefanie and Lantzsch, Ina and Lindow, Norbert and Prohaska, Steffen and Srayko, Martin and M{\"u}ller-Reichert, Thomas}, title = {A switch in microtubule orientation during C. elegans meiosis}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-69855}, year = {2018}, abstract = {In oocytes of many organisms, meiotic spindles form in the absence of centrosomes [1-5]. Such female meiotic spindles have a pointed appearance in metaphase with microtubules focused at acentrosomal spindle poles. At anaphase, the microtubules of acentrosomal spindles then transition to an inter- chromosomal array, while the spindle poles disappear. This transition is currently not understood. Previous studies have focused on this inter- chromosomal microtubule array and proposed a pushing model to drive chromosome segregation [6, 7]. This model includes an end-on orientation of microtubules with chromosomes. Alternatively, chromosomes were thought to associate along bundles of microtubules [8, 9]. Starting with metaphase, this second model proposed a pure lateral chromosome-to-microtubule association up to the final meiotic stages of anaphase. Here we applied large-scale electron tomography [10] of staged C. elegans oocytes in meiosis to analyze the orientation of microtubules in respect to chromosomes. We show that microtubules at metaphase I are primarily oriented laterally to the chromosomes and that microtubules switch to an end-on orientation during progression through anaphase. We further show that this switch in microtubule orientation involves a kinesin-13 microtubule depolymerase, KLP-7, which removes laterally associated microtubules around chromosomes. From this we conclude that both lateral and end-on modes of microtubule-to-chromosome orientations are successively used in C. elegans oocytes to segregate meiotic chromosomes.}, language = {en} } @article{RedemannLantzschLindowetal.2018, author = {Redemann, Stefanie and Lantzsch, Ina and Lindow, Norbert and Prohaska, Steffen and Srayko, Martin and M{\"u}ller-Reichert, Thomas}, title = {A switch in microtubule orientation during C. elegans meiosis}, journal = {Current Biology}, issn = {0960-9822}, doi = {10.1016/j.cub.2018.07.012}, year = {2018}, abstract = {In oocytes of many organisms, meiotic spindles form in the absence of centrosomes [1-5]. Such female meiotic spindles have a pointed appearance in metaphase with microtubules focused at acentrosomal spindle poles. At anaphase, the microtubules of acentrosomal spindles then transition to an inter- chromosomal array, while the spindle poles disappear. This transition is currently not understood. Previous studies have focused on this inter- chromosomal microtubule array and proposed a pushing model to drive chromosome segregation [6, 7]. This model includes an end-on orientation of microtubules with chromosomes. Alternatively, chromosomes were thought to associate along bundles of microtubules [8, 9]. Starting with metaphase, this second model proposed a pure lateral chromosome-to-microtubule association up to the final meiotic stages of anaphase. Here we applied large-scale electron tomography [10] of staged C. elegans oocytes in meiosis to analyze the orientation of microtubules in respect to chromosomes. We show that microtubules at metaphase I are primarily oriented laterally to the chromosomes and that microtubules switch to an end-on orientation during progression through anaphase. We further show that this switch in microtubule orientation involves a kinesin-13 microtubule depolymerase, KLP-7, which removes laterally associated microtubules around chromosomes. From this we conclude that both lateral and end-on modes of microtubule-to-chromosome orientations are successively used in C. elegans oocytes to segregate meiotic chromosomes.}, language = {en} } @incollection{LindowRedemannBruenigetal.2018, author = {Lindow, Norbert and Redemann, Stefanie and Br{\"u}nig, Florian and Fabig, Gunar and M{\"u}ller-Reichert, Thomas and Prohaska, Steffen}, title = {Quantification of three-dimensional spindle architecture}, volume = {145}, booktitle = {Methods in Cell Biology Part B}, publisher = {Academic Press}, issn = {0091-679X}, doi = {10.1016/bs.mcb.2018.03.012}, pages = {45 -- 64}, year = {2018}, abstract = {Mitotic and meiotic spindles are microtubule-based structures to faithfully segregate chromosomes. Electron tomography is currently the method of choice to analyze the three-dimensional (3D) architecture of both types of spindles. Over the years, we have developed methods and software for automatic segmentation and stitching of microtubules in serial sections for large-scale reconstructions. 3D reconstruction of microtubules, however, is only the first step toward biological insight. The second step is the analysis of the structural data to derive measurable spindle properties. Here, we present a comprehensive set of techniques to quantify spindle parameters. These techniques provide quantitative analyses of specific microtubule classes and are applicable to a variety of tomographic reconstructions of spindles from different organisms.}, language = {en} } @misc{BuchmannKaplanPowelletal.2019, author = {Buchmann, Jens and Kaplan, Bernhard and Powell, Samuel and Prohaska, Steffen and Laufer, Jan}, title = {Quantitative PA tomography of high resolution 3-D images: experimental validation in tissue phantoms}, issn = {1438-0064}, doi = {10.1016/j.pacs.2019.100157}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-75416}, year = {2019}, abstract = {Quantitative photoacoustic tomography aims recover the spatial distribution of absolute chromophore concentrations and their ratios from deep tissue, high-resolution images. In this study, a model-based inversion scheme based on a Monte-Carlo light transport model is experimentally validated on 3-D multispectral images of a tissue phantom acquired using an all-optical scanner with a planar detection geometry. A calibrated absorber allowed scaling of the measured data during the inversion, while an acoustic correction method was employed to compensate the effects of limited view detection. Chromophore- and fluence-dependent step sizes and Adam optimization were implemented to achieve rapid convergence. High resolution 3-D maps of absolute concentrations and their ratios were recovered with high accuracy. Potential applications of this method include quantitative functional and molecular photoacoustic tomography of deep tissue in preclinical and clinical studies.}, language = {en} } @article{BuchmannKaplanPowelletal.2020, author = {Buchmann, Jens and Kaplan, Bernhard and Powell, Samuel and Prohaska, Steffen and Laufer, Jan}, title = {Quantitative PA tomography of high resolution 3-D images: experimental validation in tissue phantoms}, volume = {17}, journal = {Photoacoustics}, doi = {10.1016/j.pacs.2019.100157}, pages = {100157}, year = {2020}, abstract = {Quantitative photoacoustic tomography aims recover the spatial distribution of absolute chromophore concentrations and their ratios from deep tissue, high-resolution images. In this study, a model-based inversion scheme based on a Monte-Carlo light transport model is experimentally validated on 3-D multispectral images of a tissue phantom acquired using an all-optical scanner with a planar detection geometry. A calibrated absorber allowed scaling of the measured data during the inversion, while an acoustic correction method was employed to compensate the effects of limited view detection. Chromophore- and fluence-dependent step sizes and Adam optimization were implemented to achieve rapid convergence. High resolution 3-D maps of absolute concentrations and their ratios were recovered with high accuracy. Potential applications of this method include quantitative functional and molecular photoacoustic tomography of deep tissue in preclinical and clinical studies.}, language = {en} } @article{FabigKiewiszLindowetal.2020, author = {Fabig, Gunar and Kiewisz, Robert and Lindow, Norbert and Powers, James A. and Cota, Vanessa and Quintanilla, Luis J. and Brugu{\´e}s, Jan and Prohaska, Steffen and Chu, Diana S. and M{\"u}ller-Reichert, Thomas}, title = {Sperm-specific meiotic chromosome segregation in C. elegans}, volume = {9}, journal = {eLife}, doi = {10.7554/eLife.50988}, pages = {e50988}, year = {2020}, language = {en} }