Uses of Package
sc.fiji.snt.seed
Packages that use sc.fiji.snt.seed
Package
Description
SNT core classes
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.Listener fired on any change to the overlay (add/clear/threshold/visibility).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).