Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Strnad, Ondrej"'
Rendering huge biological scenes with atomistic detail presents a significant challenge in molecular visualization due to the memory limitations inherent in traditional rendering approaches. In this paper, we propose a novel method for the interactiv
Externí odkaz:
http://arxiv.org/abs/2404.05116
We introduce DiffFit, a differentiable algorithm for fitting protein atomistic structures into an experimental reconstructed Cryo-Electron Microscopy (cryo-EM) volume map. In structural biology, this process is necessary to semi-automatically composi
Externí odkaz:
http://arxiv.org/abs/2404.02465
Autor:
Jia, Donggang, Irger, Alexandra, Besancon, Lonni, Strnad, Ondrej, Luo, Deng, Bjorklund, Johanna, Ynnerman, Anders, Viola, Ivan
We present VOICE, a novel approach to science communication that connects large language models' (LLM) conversational capabilities with interactive exploratory visualization. VOICE introduces several innovative technical contributions that drive our
Externí odkaz:
http://arxiv.org/abs/2304.04083
Autor:
Lesar, Žiga, Alharbi, Ruwayda, Bohak, Ciril, Strnad, Ondřej, Heinzl, Christoph, Marolt, Matija, Viola, Ivan
We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibilit
Externí odkaz:
http://arxiv.org/abs/2206.07392
Autor:
Luo, Deng, Kouyoumdjian, Alexandre, Strnad, Ondřej, Miao, Haichao, Barišić, Ivan, Viola, Ivan
We propose a new abstraction set (SynopSet) that has a continuum of visual representations for the explanatory analysis of molecular dynamics simulations (MDS) in the DNA nanotechnology domain. By re-purposing the commonly used progress bar and desig
Externí odkaz:
http://arxiv.org/abs/2205.01628
We present a novel method for the interactive construction and rendering of extremely large molecular scenes, capable of representing multiple biological cells in atomistic detail. Our method is tailored for scenes, which are procedurally constructed
Externí odkaz:
http://arxiv.org/abs/2204.05762
Autor:
Sancha, Shirley A.R., Dobiasová, Simona, Nejedlý, Tomáš, Strnad, Ondřej, Viktorová, Jitka, Ferreira, Maria-José U.
Publikováno v:
In Phytomedicine April 2024 126
Autor:
Nguyen, Ngan, Bohak, Ciril, Engel, Dominik, Mindek, Peter, Strnad, Ondřej, Wonka, Peter, Li, Sai, Ropinski, Timo, Viola, Ivan
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 2022
Cryo-Electron Tomography (cryo-ET) is a new 3D imaging technique with unprecedented potential for resolving submicron structural detail. Existing volume visualization methods, however, cannot cope with its very low signal-to-noise ratio. In order to
Externí odkaz:
http://arxiv.org/abs/2104.01554
Autor:
Kouřil, David, Strnad, Ondřej, Mindek, Peter, Halladjian, Sarkis, Isenberg, Tobias, Gröller, M. Eduard, Viola, Ivan
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 29(3), 2023
We present a method for producing documentary-style content using real-time scientific visualization. We produce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology. We employ scalable methods instead of
Externí odkaz:
http://arxiv.org/abs/2011.02418
Autor:
Nguyen, Ngan, Strnad, Ondrej, Klein, Tobias, Luo, Deng, Alharbi, Ruwayda, Wonka, Peter, Maritan, Martina, Mindek, Peter, Autin, Ludovic, Goodsell, David S., Viola, Ivan
We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set
Externí odkaz:
http://arxiv.org/abs/2005.01804