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Facetto: Combining unsupervised and supervised learning for hierarchical phenotype analysis in multi-channel image data
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 …
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …
Barrio: customizable spatial neighborhood analysis and comparison for nanoscale brain structures
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 …
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
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 …
diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation …
Visual cohort comparison for spatial single-cell omics-data
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 …
and explore their spatial interactions, enabling deep understanding of tissue functionality. To …
Aardvark: Composite Visualizations of Trees, Time-Series, and Images
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 …
processes? These are difficult questions that we can attempt to answer with a combination of …
Loon: Using exemplars to visualize large-scale microscopy data
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 …
measuring the mass of individual cancer cells treated with different drugs promises to …
CellTrackVis: analyzing the performance of cell tracking algorithms
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 …
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 …
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
Life science experiments that employ automated technologies, such as high-content
screens, frequently produce large datasets that require substantial amounts of …
screens, frequently produce large datasets that require substantial amounts of …
[HTML][HTML] Visualisation of Control Software for Cyber-Physical Systems
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 …
software (controller). Such a controller, given a plant state s and a plant action u, returns 1 iff …