Uncertainty Footprint: Visualization of Nonuniform Behavior of Iterative Algorithms Applied to 4D Cell Tracking

Research on microscopy data from developing biological samples usually requires tracking individual cells over time. When cells are three‐dimensionally and densely packed in a time‐dependent scan of volumes, tracking results can become unreliable and uncertain. Not only are cell segmentation results...

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Veröffentlicht in:	Computer graphics forum Jg. 36; H. 3; S. 479 - 489
Hauptverfasser:	Wan, Y., Hansen, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Blackwell Publishing Ltd 01.06.2017
Schlagworte:	Algorithms Biological properties Categories and Subject Descriptors (according to ACM CCS) Computer simulation Data processing Design improvements Diagnosis Footprints Ground truth I.4.6 [Segmentation]: Pixel classification I.4.8 [Scene Analysis]: Tracking Iterative algorithms J.3 [Life and Medical Sciences]: Biology and Genetics Methods Microscopy Nonuniformity Segmentation Time dependence Tracking Uncertainty Visualization Workflow
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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