2022
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@ARTICLE {Garrison2022MolColor,
author = "Laura A. Garrison and Stefan Bruckner",
title = "Considering Best Practices in Color Palettes for Molecular Visualizations",
journal = "Journal of Integrative Bioinformatics",
year = "2022",
abstract = "Biomedical illustration and visualization techniques provide a window into complex molecular worlds that are difficult to capture through experimental means alone. Biomedical illustrators frequently employ color to help tell a molecular story, e.g., to identify key molecules in a signaling pathway. Currently, color use for molecules is largely arbitrary and often chosen based on the client, cultural factors, or personal taste. The study of molecular dynamics is relatively young, and some stakeholders argue that color use guidelines would throttle the growth of the field. Instead, content authors have ample creative freedom to choose an aesthetic that, e.g., supports the story they want to tell. However, such creative freedom comes at a price. The color design process is challenging, particularly for those without a background in color theory. The result is a semantically inconsistent color space that reduces the interpretability and effectiveness of molecular visualizations as a whole. Our contribution in this paper is threefold. We first discuss some of the factors that contribute to this array of color palettes. Second, we provide a brief sampling of color palettes used in both industry and research sectors. Lastly, we suggest considerations for developing best practices around color palettes applied to molecular visualization.",
images = "images/garrison-molecularcolor-full.png",
thumbnails = "images/garrison-molecularcolor-thumb.png",
pdf = "pdfs/garrison-molecularcolor.pdf",
publisher = "De Gruyter",
project = "VIDI"
}
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@ARTICLE {Garrison2022PhysioSTAR,
author = "Laura A. Garrison and Ivan Kolesar and Ivan Viola and Helwig Hauser and Stefan Bruckner",
title = "Trends & Opportunities in Visualization for Physiology: A Multiscale Overview",
journal = "Computer Graphics Forum",
year = "2022",
abstract = "Combining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges in visualization for physiology. Our literature search process combined standard methods with a state-of-the-art visual analysis search tool to identify surveys and representative individual approaches for physiology. Our resulting taxonomy sorts literature on two levels. The first level categorizes literature according to organizational complexity and ranges from molecule to organ. A second level identifies any of three high-level visualization tasks within a given work: exploration, analysis, and communication. The findings of this report may be used by visualization researchers to understand the overarching trends, challenges, and opportunities in visualization for physiology and to provide a foundation for discussion and future research directions in this area. ",
images = "images/garrison-STAR-taxonomy.png",
thumbnails = "images/garrison-STAR-thumb.png",
pdf = "pdfs/Garrison_STAR_cameraready.pdf",
publisher = "The Eurographics Association and John Wiley \& Sons Ltd.",
project = "VIDI"
}
2021
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@inproceedings{Rijken-2021-Illegible,
title = {Illegible Semantics: Exploring the Design Space of Metal Logos},
author = {Gerrit J. Rijken and Rene Cutura and Frank Heyen and Michael Sedlmair and Michael Correll and Jason Dykes and Noeska Smit},
year = 2021,
booktitle = {Proceedings of the {alt.VIS} workshop at {IEEE VIS}},
eprint = {2109.01688},
archiveprefix = {arXiv},
primaryclass = {cs.HC},
pdf = {pdfs/Rijken-2021-Illegible.pdf},
thumbnails = {images/Rijken-2021-Illegible.png},
images = {images/Rijken-2021-Illegible.png},
abstract = {The logos of metal bands can be by turns gaudy, uncouth, or nearly illegible. Yet, these logos work: they communicate sophisticated notions of genre and emotional affect. In this paper we use the design considerations of metal logos to explore the space of ``illegible semantics'': the ways that text can communicate information at the cost of readability, which is not always the most important objective. In this work, drawing on formative visualization theory, professional design expertise, and empirical assessments of a corpus of metal band logos, we describe a design space of metal logos and present a tool through which logo characteristics can be explored through visualization. We investigate ways in which logo designers imbue their text with meaning and consider opportunities and implications for visualization more widely.},
youtube = "https://youtu.be/BZOdIhU-mrA",
}
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@inproceedings{Smit-2021-DataKnitualization,
title = {Data Knitualization: An Exploration of Knitting as a Visualization Medium},
author = {Noeska Smit},
year = 2021,
booktitle = {Proceedings of the {alt.VIS} workshop at {IEEE VIS}},
doi = {10.31219/osf.io/xahj9},
pdf = {pdfs/Smit-2021-DataKnitualization.pdf},
thumbnails = {images/Smit-2021-DataKnitualization.jpg},
images = {images/Smit-2021-DataKnitualization.jpg},
abstract = {While data visualization can be achieved in many media, from hand-drawn on paper to 3D printed via data physicalization, the ancient craft of knitting is not often considered as a visualization medium. With this work, I explore hand knitting as a potential data visualization medium based on my personal experience as a knitter and visualization researcher.},
youtube = "https://youtu.be/K3D-M7jzbMs",
}
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@article{Gillmann-2021-Viewpoints,
author = {C. Gillmann and N. N. Smit and E. Groller and B. Preim and A. Vilanova and T. Wischgoll},
journal = {IEEE Computer Graphics and Applications},
title = {Ten Open Challenges in Medical Visualization},
year = {2021},
volume = {41},
number = {05},
issn = {1558-1756},
pages = {7-15},
keywords = {deep learning;uncertainty;data visualization;medical services;standardization;artificial intelligence;biomedical imaging},
doi = {10.1109/MCG.2021.3094858},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
pdf = {pdfs/Gillmann-2021-Viewpoints.pdf},
thumbnails = {images/Gillmann-2021-Viewpoints.png},
images = {images/Gillmann-2021-Viewpoints.png},
project = {ttmedvis},
abstract = {The medical domain has been an inspiring application area in visualization research for many years already, but many open challenges remain. The driving forces of medical visualization research have been strengthened by novel developments, for example, in deep learning, the advent of affordable VR technology, and the need to provide medical visualizations for broader audiences. At IEEE VIS 2020, we hosted an Application Spotlight session to highlight recent medical visualization research topics. With this article, we provide the visualization community with ten such open challenges, primarily focused on challenges related to the visualization of medical imaging data. We first describe the unique nature of medical data in terms of data preparation, access, and standardization. Subsequently, we cover open visualization research challenges related to uncertainty, multimodal and multiscale approaches, and evaluation. Finally, we emphasize challenges related to users focusing on explainable AI, immersive visualization, P4 medicine, and narrative visualization.}
}
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@inproceedings{Hushagen-2021-VCBM,
title = {The Role of Depth Perception in {XR} from a Neuroscience Perspective: A Primer and Survey},
author = {Hushagen, Vetle and Tresselt, Gustav C. and Smit, Noeska N. and Specht, Karsten},
year = 2021,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
publisher = {The Eurographics Association},
doi = {10.2312/vcbm.20211344},
isbn = {978-3-03868-140-3},
issn = {2070-5786},
url = {https://diglib.eg.org/handle/10.2312/vcbm20211344},
pdf = {pdfs/Hushagen-2021-VCBM.pdf},
thumbnails = {images/Hushagen-2021-VCBM.png},
images = {images/Hushagen-2021-VCBM.png},
project = {ttmedvis},
abstract = {Augmented and virtual reality (XR) are potentially powerful tools for enhancing the efficiency of interactive visualization of complex data in biology and medicine. The benefits of visualization of digital objects in XR mainly arise from enhanced depth perception due to the stereoscopic nature of XR head mounted devices. With the added depth dimension, XR is in a prime position to convey complex information and support tasks where 3D information is important. In order to inform the development of novel XR applications in the biology and medicine domain, we present a survey which reviews the neuroscientific basis underlying the immersive features of XR. To make this literature more accessible to the visualization community, we first describe the basics of the visual system, highlighting how visual features are combined to objects
and processed in higher cortical areas with a special focus on depth vision. Based on state of the art findings in neuroscience literature related to depth perception, we provide several recommendations for developers and designers. Our aim is to aid development of XR applications and strengthen development of tools aimed at molecular visualization, medical education, and surgery, as well as inspire new application areas.}
}