Uses of Package
sc.fiji.snt.seed
Packages that use sc.fiji.snt.seed
Package
Description
SNT core classes
Classes for Seed Tracing.
Automatic neuron tracing algorithms that reconstruct complete neuronal
morphologies from images without user interaction.
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Classes in sc.fiji.snt.seed used by sc.fiji.sntClassDescriptionTransient, in-memory store of
SeedPoints used to render candidate tracing seeds (e.g., the output of a deep-learning point detector) on SNT's canvas and to feed them to downstream consumers (autotracers, click-to-trace anchors).HowSeedOverlayRenderershould pick each seed's LUT slot.Immutable candidate seed point used to bootstrap auto-tracing or as a visualization aid for the output of upstream point detectors (e.g., deep-learning probability maps + local-max suppression). -
Classes in sc.fiji.snt.seed used by sc.fiji.snt.seedClassDescriptionTransient, in-memory store of
SeedPoints used to render candidate tracing seeds (e.g., the output of a deep-learning point detector) on SNT's canvas and to feed them to downstream consumers (autotracers, click-to-trace anchors).HowSeedOverlayRenderershould pick each seed's LUT slot.Thrown bySeedOverlay.parseCsv(File)when the CSV header is missing a required columnResult ofSeedOverlay.parseCsv(File): valid seeds plus a count of rows skipped due to parse errors (missing/non-finite coordinates, etc)Listener fired on any change to the overlay (add/clear/threshold/visibility).Bdv/Bvv counterpart ofSeedOverlayCanvasHandler.Immutable candidate seed point used to bootstrap auto-tracing or as a visualization aid for the output of upstream point detectors (e.g., deep-learning probability maps + local-max suppression).TableModelbacked by aSeedOverlay. -
Classes in sc.fiji.snt.seed used by sc.fiji.snt.tracing.autoClassDescriptionImmutable candidate seed point used to bootstrap auto-tracing or as a visualization aid for the output of upstream point detectors (e.g., deep-learning probability maps + local-max suppression).