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The same detection + overlap-tracking algorithm run locally outside Galaxy (scikit-image + scipy), used to confirm the Galaxy result and to provide a hermetic, credential-free reproduction.
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http://purl.org/dc/terms/description
The CellProfiler object-tracking pipeline (IdentifyPrimaryObjects + MeasureObjectSizeShape + TrackObjects) segments and tracks dividing cell nuclei in fluorescence time-lapse microscopy, applied to the IVT fields through a Galaxy workflow. It is a cross-discipline transfer of a bioimaging tracker to Earth-system science. Atmospheric rivers are identified using the established Guan & Waliser (2015) criteria (IVT threshold, length, length/width ratio, poleward flux).
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Recovery of coherent atmospheric-river objects per timestep — each with a persistent identity, centroid trajectory, length, IVT intensity and poleward flux — and whether the tracker follows them across time as they intensify, drift, merge and split.
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http://purl.org/dc/terms/description
Gridded fields of integrated water-vapour transport (IVT) from the ERA5 reanalysis (here the North Pacific, early February 2017, 6-hourly, 0.25 degrees), in which atmospheric rivers appear as long narrow filaments of high IVT.
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In a time-series of ERA5 integrated water-vapour transport (IVT) fields containing atmospheric rivers, does the CellProfiler object-tracking pipeline — IdentifyPrimaryObjects plus TrackObjects, built to follow dividing nuclei in fluorescence time-lapse and applied without modification through a Galaxy workflow, compared with the same algorithm run locally outside Galaxy, recover coherent atmospheric-river objects and their trajectories across consecutive 6-hourly time steps, including rivers that intensify, drift and split?
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Can a bioimaging object-tracking pipeline detect and track atmospheric rivers in ERA5 IVT via Galaxy?
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Anne Fouilloux
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2026-06-23T09:52:27.818Z
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Can a bioimaging object-tracking pipeline detect and track atmospheric rivers in ERA5 IVT via Galaxy?
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