Facetto: Combining unsupervised and supervised learning for hierarchical phenotype analysis in multi-channel image data

R Krueger, J Beyer, WD Jang, NW Kim… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Facetto is a scalable visual analytics application that is used to discover single-cell
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …

Barrio: customizable spatial neighborhood analysis and comparison for nanoscale brain structures

J Troidl, C Cali, E Gröller, H Pfister… - Computer Graphics …, 2022 - Wiley Online Library
High‐resolution electron microscopy imaging allows neuroscientists to reconstruct not just
entire cells but individual cell substructures (ie, cell organelles) as well. Based on these …

Scope2screen: Focus+ context techniques for pathology tumor assessment in multivariate image data

J Jessup, R Krueger, S Warchol, J Hoffer… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Inspection of tissues using a light microscope is the primary method of diagnosing many
diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation …

Visual cohort comparison for spatial single-cell omics-data

A Somarakis, ME Ijsselsteijn, SJ Luk… - … on Visualization and …, 2020 - ieeexplore.ieee.org
Spatially-resolved omics-data enable researchers to precisely distinguish cell types in tissue
and explore their spatial interactions, enabling deep understanding of tissue functionality. To …

Aardvark: Composite Visualizations of Trees, Time-Series, and Images

D Lange, R Judson-Torres… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
How do cancer cells grow, divide, proliferate, and die? How do drugs influence these
processes? These are difficult questions that we can attempt to answer with a combination of …

Loon: Using exemplars to visualize large-scale microscopy data

D Lange, E Polanco, R Judson-Torres… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Which drug is most promising for a cancer patient? A new microscopy-based approach for
measuring the mass of individual cancer cells treated with different drugs promises to …

CellTrackVis: analyzing the performance of cell tracking algorithms

W Li, X Zhang, A Stern, M Birtwistle… - … VGTC Symposium on …, 2022 - pmc.ncbi.nlm.nih.gov
Live-cell imaging is a common data acquisition technique used by biologists to analyze cell
behavior. Since manually tracking cells in a video sequence is extremely time-consuming …

[LIVRO][B] BioMedical Visualization: Past Work, Current Trends, and Open Challenges

Medicine and biology are important research fields with a significant impact on humans and
their health. In the last few decades, many visualization strategies have been proposed for …

PurifyR: An R package for highly automated, reproducible variable extraction and standardization

WA Omta, RG van Heesbeen, I Shen… - Systems …, 2020 - liebertpub.com
Life science experiments that employ automated technologies, such as high-content
screens, frequently produce large datasets that require substantial amounts of …

[HTML][HTML] Visualisation of Control Software for Cyber-Physical Systems

I Melatti, F Mari, I Salvo, E Tronci - Information, 2021 - mdpi.com
Cyber-physical systems are typically composed of a physical system (plant) controlled by a
software (controller). Such a controller, given a plant state s and a plant action u, returns 1 iff …