TY - JOUR A1 - Baum, Daniel A1 - Weaver, James C. A1 - Zlotnikov, Igor A1 - Knötel, David A1 - Tomholt, Lara A1 - Dean, Mason N. T1 - High-Throughput Segmentation of Tiled Biological Structures using Random-Walk Distance Transforms JF - Integrative And Comparative Biology N2 - Various 3D imaging techniques are routinely used to examine biological materials, the results of which are usually a stack of grayscale images. In order to quantify structural aspects of the biological materials, however, they must first be extracted from the dataset in a process called segmentation. If the individual structures to be extracted are in contact or very close to each other, distance-based segmentation methods utilizing the Euclidean distance transform are commonly employed. Major disadvantages of the Euclidean distance transform, however, are its susceptibility to noise (very common in biological data), which often leads to incorrect segmentations (i.e. poor separation of objects of interest), and its limitation of being only effective for roundish objects. In the present work, we propose an alternative distance transform method, the random-walk distance transform, and demonstrate its effectiveness in high-throughput segmentation of three microCT datasets of biological tilings (i.e. structures composed of a large number of similar repeating units). In contrast to the Euclidean distance transform, this random-walk approach represents the global, rather than the local, geometric character of the objects to be segmented and, thus, is less susceptible to noise. In addition, it is directly applicable to structures with anisotropic shape characteristics. Using three case studies—stingray tessellated cartilage, starfish dermal endoskeleton, and the prismatic layer of bivalve mollusc shell—we provide a typical workflow for the segmentation of tiled structures, describe core image processing concepts that are underused in biological research, and show that for each study system, large amounts of biologically-relevant data can be rapidly segmented, visualized and analyzed. Y1 - 2019 U6 - https://doi.org/10.1093/icb/icz117 ER - TY - JOUR A1 - Mahnke, Heinz-Eberhard A1 - Arlt, Tobias A1 - Baum, Daniel A1 - Hege, Hans-Christian A1 - Herter, Felix A1 - Lindow, Norbert A1 - Manke, Ingo A1 - Siopi, Tzulia A1 - Menei, Eve A1 - Etienne, Marc A1 - Lepper, Verena T1 - Virtual unfolding of folded papyri JF - Journal of Cultural Heritage N2 - The historical importance of ancient manuscripts is unique since they provide information about the heritage of ancient cultures. Often texts are hidden in rolled or folded documents. Due to recent impro- vements in sensitivity and resolution, spectacular disclosures of rolled hidden texts were possible by X-ray tomography. However, revealing text on folded manuscripts is even more challenging. Manual unfolding is often too risky in view of the fragile condition of fragments, as it can lead to the total loss of the document. X-ray tomography allows for virtual unfolding and enables non-destructive access to hid- den texts. We have recently demonstrated the procedure and tested unfolding algorithms on a mockup sample. Here, we present results on unfolding ancient papyrus packages from the papyrus collection of the Musée du Louvre, among them objects folded along approximately orthogonal folding lines. In one of the packages, the first identification of a word was achieved, the Coptic word for “Lord”. Y1 - 2020 U6 - https://doi.org/10.1016/j.culher.2019.07.007 VL - 41 SP - 264 EP - 269 PB - Elsevier ER - TY - GEN A1 - Baum, Daniel A1 - Weaver, James C. A1 - Zlotnikov, Igor A1 - Knötel, David A1 - Tomholt, Lara A1 - Dean, Mason N. T1 - High-Throughput Segmentation of Tiled Biological Structures using Random-Walk Distance Transforms N2 - Various 3D imaging techniques are routinely used to examine biological materials, the results of which are usually a stack of grayscale images. In order to quantify structural aspects of the biological materials, however, they must first be extracted from the dataset in a process called segmentation. If the individual structures to be extracted are in contact or very close to each other, distance-based segmentation methods utilizing the Euclidean distance transform are commonly employed. Major disadvantages of the Euclidean distance transform, however, are its susceptibility to noise (very common in biological data), which often leads to incorrect segmentations (i.e. poor separation of objects of interest), and its limitation of being only effective for roundish objects. In the present work, we propose an alternative distance transform method, the random-walk distance transform, and demonstrate its effectiveness in high-throughput segmentation of three microCT datasets of biological tilings (i.e. structures composed of a large number of similar repeating units). In contrast to the Euclidean distance transform, this random-walk approach represents the global, rather than the local, geometric character of the objects to be segmented and, thus, is less susceptible to noise. In addition, it is directly applicable to structures with anisotropic shape characteristics. Using three case studies—stingray tessellated cartilage, starfish dermal endoskeleton, and the prismatic layer of bivalve mollusc shell—we provide a typical workflow for the segmentation of tiled structures, describe core image processing concepts that are underused in biological research, and show that for each study system, large amounts of biologically-relevant data can be rapidly segmented, visualized and analyzed. T3 - ZIB-Report - 19-33 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-73841 SN - 1438-0064 ER - TY - JOUR A1 - Pöthkow, Kai A1 - Petz, Christoph A1 - Hege, Hans-Christian T1 - Approximate Level-Crossing Probabilities for Interactive Visualization of Uncertain Isocontours JF - International Journal for Uncertainty Quantification Y1 - 2013 U6 - https://doi.org/10.1615/Int.J.UncertaintyQuantification.2012003958 VL - 3 IS - 2 SP - 101 EP - 117 ER - TY - GEN A1 - Homberg, Ulrike A1 - Baum, Daniel A1 - Wiebel, Alexander A1 - Prohaska, Steffen A1 - Hege, Hans-Christian ED - Bremer, Peer-Timo ED - Hotz, Ingrid ED - Pascucci, Valerio ED - Peikert, Ronald T1 - Definition, Extraction, and Validation of Pore Structures in Porous Materials BT - Theory, Algorithms, and Applications T2 - Topological Methods in Data Analysis and Visualization III Y1 - 2014 U6 - https://doi.org/10.1007/978-3-319-04099-8_15 SP - 235 EP - 248 PB - Springer ER - TY - CHAP A1 - Klindt, Marco A1 - Prohaska, Steffen A1 - Baum, Daniel A1 - Hege, Hans-Christian ED - Arnold, David ED - Kaminski, Jaime ED - Niccolucci, Franco ED - Stork, Andre T1 - Conveying Archaeological Contexts to Museum Visitors: Case Study Pergamon Exhibition T2 - VAST12: The 13th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage - Short Papers Y1 - 2012 UR - http://diglib.eg.org/EG/DL/PE/VAST/VAST12S/025-028.pdf U6 - https://doi.org/10.2312/PE/VAST/VAST12S/025-028 SP - 25 EP - 28 PB - Eurographics Association CY - Brighton, UK ER - TY - CHAP A1 - Klindt, Marco A1 - Baum, Daniel A1 - Prohaska, Steffen A1 - Hege, Hans-Christian T1 - iCon.text – a customizable iPad app for kiosk applications in museum exhibitions T2 - EVA 2012 Berlin Y1 - 2012 SP - 150 EP - 155 PB - Gesellschaft zur Förderung angewandter Informatik e.V. CY - Volmerstraße 3, 12489 Berlin ER - TY - JOUR A1 - Lindow, Norbert A1 - Baum, Daniel A1 - Bondar, Ana-Nicoleta A1 - Hege, Hans-Christian T1 - Exploring cavity dynamics in biomolecular systems JF - BMC Bioinformatics Y1 - 2013 U6 - https://doi.org/10.1186/1471-2105-14-S19-S5 VL - 14 ET - (Suppl 19):S5 ER - TY - JOUR A1 - Kratz, Andrea A1 - Baum, Daniel A1 - Hotz, Ingrid T1 - Anisotropic Sampling of Planar and Two-Manifold Domains for Texture Generation and Glyph Distribution JF - Transactions on Visualization and Computer Graphics (TVCG) Y1 - 2013 U6 - https://doi.org/10.1109/TVCG.2013.83 VL - 19 SP - 1782 EP - 1794 ER - TY - JOUR A1 - Lindow, Norbert A1 - Baum, Daniel A1 - Hege, Hans-Christian T1 - Voronoi-Based Extraction and Visualization of Molecular Paths JF - IEEE Transactions on Visualization and Computer Graphics Y1 - 2011 U6 - https://doi.org/10.1109/TVCG.2011.259 VL - 17 IS - 12 SP - 2025 EP - 2034 ER -