25 papers · ranked by Valyu relevance
Maria M. Del Viva, Giovanni Punzi, Steven K. Shevell, Samuel G. Solomon
'Samuel G. Solomon'] The visual system is able to recognize a scene based on a sketch made of very simple features. This ability is likely crucial for survival, when fast image recognition is necessary, and it is believed that a primal sketch is extracted very early in the visual processing. Such highly simplified…
Anton Stratmann, Martin Beyß, Johann F. Jadebeck, Katharina Nöh
Understanding input-output relationships within multivariate datasets is an ubiquitous task in the life and data sciences. For this, visual analysis is indispensable for providing expressive summaries and preparing decision-making. We present the visual analysis approach and software MooViE, which is designed to strike…
Tijl Grootswagers, Amanda K. Robinson, Thomas A. Carlson
In our daily lives, we are bombarded with a stream of rapidly changing visual input. Humans have the remarkable capacity to detect and identify objects in fast-changing scenes. Yet, when studying brain representations, stimuli are generally presented in isolation. Here, we studied the dynamics of human vision using a…
Yizhou Liu, Claudia Solís‐Lemus
WI Fast Stats is the first and only dedicated tool tailored to the WI Fast Plants educational objectives. WI Fast Stats is an integrated animated web page with a collection of R-developed web apps that provide Data Visualization and Data Analysis tools for WI Fast Plants data. WI Fast Stats is a user-friendly…
Matthew Watson, Golnaz Abazari, Edward L.Y. Chen, Tiak Ju Tan + 5 more
Spatial biology data throughput currently outpaces interpretable analysis, limiting large-scale discovery and translation. Here we present Rakaia, a browser-based platform for multiplexed imaging and spatial transcriptomics, empowering code-free interactive exploration and evaluation. Rakaia enables visualization…
Valerio Fulci
Recently, several protocols repurposing the Illumina flow cells as an RNA capture device for spatial transcriptomics have been reported. These protocols yield high volumes of sequencing data which are usually analyzed through the use of HPC clusters. I report inhere a novel pipeline for the analysis of high resolution…
Matteo Toscani, Ezgi I. Yücel, Katja Doerschner
Image motion contains potential cues about the material properties of objects. In earlier work, we proposed motion cues that could predict whether a moving object would be perceived as shiny or matte. However, whether the visual system uses these cues is still uncertain. Herein, we use the tracking of eye movements as…
Kevin Mildau, Christoph Büschl, Jürgen Zanghellini, Justin J.J. van der Hooft
Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping, resulting in feature sets…
Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri
The new age of digital growth has marked all fields. This technological evolution has impacted data flows which have witnessed a rapid expansion over the last decade that makes the data traditional processing unable to catch up with the rapid flow of massive data. In this context, the implementation of a big data…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
Tanja Munz, Lewis Chuang, Sebastian Pannasch, Daniel Weiskopf
This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms are employed, different parameter values might be adopted across…
Authors not listed
nDTomo is a Python-based software suite for the simulation, reconstruction and analysis of X-ray chemical imaging and computed tomography data. It provides a collection of Python function-based tools designed for accessibility and education as well as a graphical user interface (GUI). Prioritising transparency and ease…
Hanqing Zhang, Niklas Söderholm, Linda Sandblad, Krister Wiklund + 1 more
Quantitative image analysis of growing filamentous fungi and prokaryotes are important to detect and evaluate morphological effects of growth conditions, compounds and mutations. However, analysis of time-series image data is often limited by the ability of the algorithms to accurately segment structures that are…
Ronald A. Rensink
Traditionally, vision science and information/data visualization have interacted by using knowledge of human vision to help design effective displays. It is argued here, however, that this interaction can also go in the opposite direction: the investigation of successful visualizations can lead to the discovery of…
Xiang He, Zijun Ke, Zehua Wu, Lihan Chen + 1 more
In the present study, we investigated how the perception of auditory duration could be modulated by a task-irrelevant, concurrent visual apparent motion, induced by visual bars alternating between left and right sides. Moreover, we examined the influence of the speed and temporal frequency of visual apparent motion on…
Henan Zhao, Garnett W. Bryant, Wesley Griffin, Judith E. Terrill + 1 more
'Jian Chen'] Abstract—We present experimental results to explore a form of bivariate glyphs for representing large-magnitude-range vectors. The glyphs meet two conditions: (1) two visual dimensions are separable; and (2) one of the two visual dimensions uses a categorical representation (e.g., a categorical colormap).…
Yi Chen, Caixia Wu, Qinghui Zhang, Di Wu
With the availability of big data for food safety, more and more advanced data analysis methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which has emerged in recent years, integrates human and machine intelligence into the data analysis process in a visually interactive manner…
Jaka Kokošar, Cagatay Turkay, Luka Avsec, Miha Štajdohar + 1 more
We introduce a visual analytics methodology for survival analysis, and propose a framework that defines a reusable set of visualization and modeling components to support exploratory and hypothesis-driven biomarker discovery. Survival analysis—essential in biomedicine—evaluates patients’ survival rates and the onset of…
Rui Zuo, Jing Wei, Xiaonan Li, Chunlin Li + 7 more
'Ying Liang' 'Xinling Geng' 'Chenxi Jiang' 'Xiaofeng Yang' 'Xu Zhang'] Epilepsy is one of the most common chronic neurological diseases. High-frequency oscillations (HFOs) have emerged as promising biomarkers for the epileptogenic zone. However, visual marking of HFOs is a time-consuming and laborious process. Several…
José F. Rodrigues, Luciana Zaina, M. Beatriz P.P. Oliveira, Bruno Brandoli Machado + 1 more
sciences Authors: ['José F. Rodrigues' 'Luciana Zaina' 'M. Beatriz P.P. Oliveira' 'Bruno Brandoli Machado' 'Agma J. M. Traina'] Information Visualization techniques are built on a context with many factors related to both vision and cognition, making it difficult to draw a clear picture of how data visually turns into…
Min Chen, Amos Golan
—In this paper, we present an abstract model of visualization and inference processes and describe an information-theoretic measure for optimizing such processes. In order to obtain such an abstraction, we first examined six classes of workflows in data analysis and visualization, and identified four levels of typical…
Abdullah‐Al‐Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee + 5 more
'Huikyo Lee' 'Daniel Crichton' 'Yimin Zhu' 'Chanachok Chokwitthaya' 'William J. Tolone' 'Isaac Cho'] Abstract—This paper proposes a visual analytics framework that addresses the complex user interactions required through a command-line interface to run analyses in distributed data analysis systems. The visual analytics…
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot…
Authors not listed
As time-resolved x-ray absorption spectroscopy experiments become more prevalent, new tools are required to process and analyze the large amounts of data measured efficiently. To address this growing demand, we developed autoXAS: a python package for easy, fast, and reproducible processing and analysis of in-situ and…
Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer + 5 more
Metabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for…