{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Athawale TM"],"funding":["U.S. Department of Energy","National Institutes of Health","Intel Graphics and Visualization Institutes of XeLLENCE","NIGMS NIH HHS"],"pagination":["1955-1966"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8935531"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["28(4)"],"pubmed_abstract":["Morse complexes are gradient-based topological descriptors with close connections to Morse theory. They are widely applicable in scientific visualization as they serve as important abstractions for gaining insights into the topology of scalar fields. Data uncertainty inherent to scalar fields due to randomness in their acquisition and processing, however, limits our understanding of Morse complexes as structural abstractions. We, therefore, explore uncertainty visualization of an ensemble of 2D Morse complexes that arises from scalar fields coupled with data uncertainty. We propose several statistical summary maps as new entities for quantifying structural variations and visualizing positional uncertainties of Morse complexes in ensembles. Specifically, we introduce three types of statisti"],"journal":["IEEE transactions on visualization and computer graphics"],"pubmed_title":["Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps."],"pmcid":["PMC8935531"],"funding_grant_id":["R24 GM136986","P41 GM103545-18","P41 GM103545","DE-FE0031880"],"pubmed_authors":["Yan L","Pascucci V","Johnson CR","Wang B","Athawale TM","Maljovec D"],"additional_accession":[]},"is_claimable":false,"name":"Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps.","description":"Morse complexes are gradient-based topological descriptors with close connections to Morse theory. They are widely applicable in scientific visualization as they serve as important abstractions for gaining insights into the topology of scalar fields. Data uncertainty inherent to scalar fields due to randomness in their acquisition and processing, however, limits our understanding of Morse complexes as structural abstractions. We, therefore, explore uncertainty visualization of an ensemble of 2D Morse complexes that arises from scalar fields coupled with data uncertainty. We propose several statistical summary maps as new entities for quantifying structural variations and visualizing positional uncertainties of Morse complexes in ensembles. Specifically, we introduce three types of statisti","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-22T11:45:08.846Z","creation":"2025-04-06T00:05:10.116Z"},"accession":"S-EPMC8935531","cross_references":{"pubmed":["32897861"],"doi":["10.1109/tvcg.2020.3022359","10.1109/TVCG.2020.3022359"]}}