A5001966756- Data Visualization and Analytics
- Cell Image Analysis Techniques
- Virtual Reality Applications and Impacts
- Data Analysis with R
- Mental Health Research Topics
- Tactile and Sensory Interactions
- AI in cancer detection
- Visual and Cognitive Learning Processes
- Microbial Metabolic Engineering and Bioproduction
- Time Series Analysis and Forecasting
- Digital Imaging for Blood Diseases
- Image Processing Techniques and Applications
- Teleoperation and Haptic Systems
- Teacher Education and Leadership Studies
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Image Retrieval and Classification Techniques
- Reflective Practices in Education
- Health, Environment, Cognitive Aging
- Particle physics theoretical and experimental studies
- Education Systems and Policy
- Science Education and Pedagogy
- Labor Movements and Unions
- Higher Education Research Studies
- Action Observation and Synchronization
Renaissance Computing Institute
2014-2024
University of North Carolina at Chapel Hill
2014-2024
Flint Institute Of Arts
2021
Weatherford College
2021
Universitat de Barcelona
2014-2020
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
2014-2020
University of North Carolina Health Care
2010-2019
University of North Carolina at Asheville
2016
Vanderbilt University
2003
Texas State University
1975-1980
Inconsistencies in the preparation of histology slides make it difficult to perform quantitative analysis on their results. In this paper we provide two mechanisms for overcoming many known inconsistencies staining process, thereby bringing that were processed or stored under very different conditions into a common, normalized space enable improved analysis.
Advances in computer graphics algorithms and virtual reality (VR) systems, together with the reduction cost of associated equipment, have led scientists to consider VR as a useful tool for conducting experimental studies fields such neuroscience psychology. In particular body ownership, where feeling ownership over is elicited participant, has become study representation, cognitive psychology, concerned how brain represents body. Although been shown be exploring illusions, integrating...
Abstract The role of empathy and perspective-taking in preventing aggressive behaviors has been highlighted several theoretical models. In this study, we used immersive virtual reality to induce a full body ownership illusion that allows offenders be the victim domestic abuse. A group male violence control without history experienced scene abuse first-person perspective. During encounter, participants’ real bodies were replaced with life-sized female moved synchronously their own movements....
The healthcare industry's widespread digitization efforts are reshaping one of the largest sectors world's economy. This transformation is enabling systems that promise to use ever-improving data-driven evidence help doctors make more precise diagnoses, institutions identify at risk patients for intervention, clinicians develop personalized treatment plans, and researchers better understand medical outcomes within complex patient populations. Given scale complexity data required achieve...
Immersive virtual reality is widely used for research and clinical purposes. Here we explored the impact of an immersive scene intimate partner violence experienced from victim's perspective (first person), as opposed to witnessing it observer (third person). We are ultimately interested in potential this approach rehabilitate batterers understanding mechanisms underlying process. For this, non-offender men either body (a female avatar), which moved synchronously with participants' real...
Omics experiments are ubiquitous in biological studies, leading to a deluge of data. However, it is still challenging connect changes these data cell functions because complex interdependencies between genes, proteins, and metabolites. Here, we present framework allowing researchers infer how metabolic change on the basis omics To enable this, curated standardized lists tasks that mammalian cells can accomplish. Genome-scale networks were used define gene sets associated with each task. We...
Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed evaluated over years for visual comparison. Similarly, common workflows exploratory are built upon idea users interactively applying various filter grouping mechanisms search new insights. This paradigm has proven effective at helping identify correlations between variables that can inform thinking decision-making. However, recent...
Temporal event data are collected across a broad range of domains, and variety visual analytics techniques have been developed to empower analysts working with this form data. These generally display aggregate statistics computed over sets sequences that share common patterns. Such often hindered, however, by the high-dimensionality many real-world sequence datasets because large number distinct types within such prevents effective aggregation. A coping strategy for challenge is group...
Counterfactuals – expressing what might have been true under different circumstances widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals begun emerge as a technique being within visualization research. However, it remains unclear extent can aid with visual data communication. In this paper, we primarily focus on assessing the quality of users’ understanding when provided counterfactual visualizations. We propose...
The collection of large, complex datasets has become common across a wide variety domains. Visual analytics tools increasingly play key role in exploring and answering questions about these large datasets. However, many visualizations are not designed to concurrently visualize the number dimensions present (e.g. tens thousands distinct codes an electronic health record system). This fact, combined with ability visual systems enable rapid, ad-hoc specification groups, or cohorts, individuals...
Complex, high-dimensional data is used in a wide range of domains to explore problems and make decisions. Analysis data, however, vulnerable the hidden influence confounding variables, especially as users apply ad hoc filtering operations visualize only specific subsets an entire dataset. Thus, visual data-driven analysis can mislead encourage mistaken assumptions about causality or strength relationships between features. This work introduces novel approach designed reveal presence...
Abstract Background Recent advances in tissue clearing techniques, combined with high-speed image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) imaging of biological specimens, such as whole mouse brains, a matter hours. Quantitative analysis 3D images can help us understand how changes brain structure lead to differences behavior or cognition, but distinguishing densely packed features interest, nuclei, from background be challenging. deep learning-based...
Designing color maps for domain experts differs fundamentally from designing them general audiences. The same human-perception issues are at play, but with experts, domain-specific knowledge should inform the design choices. So, close collaboration between visualization designers and is necessary. This article presents guidelines derived such to help create effective maps.
Miedema J, Marron J S, Niethammer M, Borland D, Woosley Coposky Wei Reisner H & Thomas N E (2012) Histopathology 61, 436–444 Image and statistical analysis of melanocytic histology Aims: We applied digital image techniques to study selected types lesions. Methods results: used advanced compare lesions as follows: (i) melanoma nevi, (ii) subtypes (iii) severely dysplastic nevi other (iv) nevi. were successful in differentiating from [receiver operating characteristic area (ROC) 0.95]...
We present a novel technique for animating self-avatar eye movements in an immersive virtual environment without the use of eye-tracking hardware, and evaluate our via two-alternative, forced-choice-with-confidence experiment that compares this simulated-eye-tracking condition to no-eye-tracking real-eye-tracking which avatar's eyes were rotated with tracker. Viewing reflection tracked is often used virtual-embodiment scenarios induce participant illusion body belongs them, however current...
Understanding cellular metabolism is important across biotechnology and biomedical research has critical implications in a broad range of normal pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows comprehensive analysis metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up run using publicly available omics data visualize results. The ImmCellFie algorithm pushes beyond conventional statistical...
Unseen information can lead to various "threats validity" when analyzing complex datasets using visual tools, resulting in potentially biased findings. We enumerate sources of unseen and argue that a new focus on contextual visualization methods is needed inform users these threats mitigate their effects.