@article{LindowBaumHege2011, author = {Lindow, Norbert and Baum, Daniel and Hege, Hans-Christian}, title = {Voronoi-Based Extraction and Visualization of Molecular Paths}, series = {IEEE Transactions on Visualization and Computer Graphics}, volume = {17}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {12}, doi = {10.1109/TVCG.2011.259}, pages = {2025 -- 2034}, year = {2011}, language = {en} } @article{KozlikovaKroneFalketal., author = {Kozl{\´i}kov{\´a}, Barbora and Krone, Michael and Falk, Martin and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Viola, Ivan and Parulek, Julius and Hege, Hans-Christian}, title = {Visualization of Biomolecular Structures: State of the Art Revisited}, series = {Computer Graphics Forum}, volume = {36}, journal = {Computer Graphics Forum}, number = {8}, doi = {10.1111/cgf.13072}, pages = {178 -- 204}, abstract = {Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The survey concludes with an outlook on promising and important research topics to foster further success in the development of tools that help to reveal molecular secrets.}, language = {en} } @misc{KozlikovaKroneFalketal., author = {Kozlikova, Barbora and Krone, Michael and Falk, Martin and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Viola, Ivan and Parulek, Julius and Hege, Hans-Christian}, title = {Visualization of Biomolecular Structures: State of the Art}, issn = {1438-0064}, doi = {10.2312/eurovisstar.20151112}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-57217}, abstract = {Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The survey concludes with an outlook on promising and important research topics to foster further success in the development of tools that help to reveal molecular secrets.}, language = {en} } @inproceedings{KozlikovaKroneLindowetal.2015, author = {Kozlikova, Barbora and Krone, Michael and Lindow, Norbert and Falk, Martin and Baaden, Marc and Baum, Daniel and Viola, Ivan and Parulek, Julius and Hege, Hans-Christian}, title = {Visualization of Biomolecular Structures: State of the Art}, series = {EuroVis 2015 STARS Proceedings}, booktitle = {EuroVis 2015 STARS Proceedings}, doi = {10.2312/eurovisstar.20151112}, pages = {61 -- 81}, year = {2015}, abstract = {Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.}, language = {en} } @misc{KroneKozlikovaLindowetal., author = {Krone, Michael and Kozlikova, Barbora and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Parulek, Julius and Hege, Hans-Christian and Viola, Ivan}, title = {Visual Analysis of Biomolecular Cavities: State of the Art}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-60193}, abstract = {In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.}, language = {en} } @article{KroneKozlikovaLindowetal.2016, author = {Krone, Michael and Kozl{\´i}kov{\´a}, Barbora and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Parulek, Julius and Hege, Hans-Christian and Viola, Ivan}, title = {Visual Analysis of Biomolecular Cavities: State of the Art}, series = {Computer Graphics Forum}, volume = {35}, journal = {Computer Graphics Forum}, number = {3}, issn = {1467-8659}, doi = {10.1111/cgf.12928}, pages = {527 -- 551}, year = {2016}, abstract = {In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.}, language = {en} } @article{MahnkeArltBaumetal., author = {Mahnke, Heinz-Eberhard and Arlt, Tobias and Baum, Daniel and Hege, Hans-Christian and Herter, Felix and Lindow, Norbert and Manke, Ingo and Siopi, Tzulia and Menei, Eve and Etienne, Marc and Lepper, Verena}, title = {Virtual unfolding of folded papyri}, series = {Journal of Cultural Heritage}, volume = {41}, journal = {Journal of Cultural Heritage}, publisher = {Elsevier}, doi = {10.1016/j.culher.2019.07.007}, pages = {264 -- 269}, abstract = {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 Mus{\´e}e 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".}, language = {en} } @misc{MahnkeArltBaumetal., author = {Mahnke, Heinz-Eberhard and Arlt, Tobias and Baum, Daniel and Hege, Hans-Christian and Herter, Felix and Lindow, Norbert and Manke, Ingo and Siopi, Tzulia and Menei, Eve and Etienne, Marc and Lepper, Verena}, title = {Virtual unfolding of folded papyri}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-74338}, abstract = {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 Mus{\´e}e 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".}, language = {en} } @inproceedings{ArltLindowBaumetal., author = {Arlt, Tobias and Lindow, Norbert and Baum, Daniel and Hilger, Andre and Mahnke, Ingo and Hege, Hans-Christian and Lepper, Verena and Siopi, Tzulia and Mahnke, Heinz.Eberhard}, title = {Virtual Access to Hidden Texts - Study of Ancient Papyri}, series = {Eighth Joint BER II and BESSY II User Meeting, Dec 7-9, 2016, Berlin, Germany}, booktitle = {Eighth Joint BER II and BESSY II User Meeting, Dec 7-9, 2016, Berlin, Germany}, abstract = {When physical unfolding/unrolling of papyri is not possible or too dangerous for preserving the precious object, tomographic approaches may be the ap- propriate alternative. Requirements are the resolution and the contrast to distinguish writing and substrate. The steps to be performed are the following: (1) Select the object of interest (archaeological arguments, cultural back- ground of the object, etc.). (2) Find the proper physical procedure, especially with respect to contrast, take the tomographic data, e.g. by absorption x-ray tomography. (3) Apply mathematical unfolding transformations to the tomographic data, in order to obtain a 2d-planar reconstruction of text.}, language = {en} } @article{LindowBruenigDercksenetal., author = {Lindow, Norbert and Br{\"u}nig, Florian and Dercksen, Vincent J. and Fabig, Gunar and Kiewisz, Robert and Redemann, Stefanie and M{\"u}ller-Reichert, Thomas and Prohaska, Steffen and Baum, Daniel}, title = {Semi-automatic stitching of filamentous structures in image stacks from serial-section electron tomography}, series = {bioRxiv}, journal = {bioRxiv}, doi = {10.1101/2020.05.28.120899}, abstract = {We present a software-assisted workflow for the alignment and matching of filamentous structures across a 3D stack of serial images. This is achieved by combining automatic methods, visual validation, and interactive correction. After an initial alignment, the user can continuously improve the result by interactively correcting landmarks or matches of filaments. Supported by a visual quality assessment of regions that have been already inspected, this allows a trade-off between quality and manual labor. The software tool was developed to investigate cell division by quantitative 3D analysis of microtubules (MTs) in both mitotic and meiotic spindles. For this, each spindle is cut into a series of semi-thick physical sections, of which electron tomograms are acquired. The serial tomograms are then stitched and non-rigidly aligned to allow tracing and connecting of MTs across tomogram boundaries. In practice, automatic stitching alone provides only an incomplete solution, because large physical distortions and a low signal-to-noise ratio often cause experimental difficulties. To derive 3D models of spindles despite the problems related to sample preparation and subsequent data collection, semi-automatic validation and correction is required to remove stitching mistakes. However, due to the large number of MTs in spindles (up to 30k) and their resulting dense spatial arrangement, a naive inspection of each MT is too time consuming. Furthermore, an interactive visualization of the full image stack is hampered by the size of the data (up to 100 GB). Here, we present a specialized, interactive, semi-automatic solution that considers all requirements for large-scale stitching of filamentous structures in serial-section image stacks. The key to our solution is a careful design of the visualization and interaction tools for each processing step to guarantee real-time response, and an optimized workflow that efficiently guides the user through datasets.}, language = {en} }