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.
  • Classes in sc.fiji.snt.seed used by sc.fiji.snt
    Class
    Description
    Transient, 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).
    How SeedOverlayRenderer should 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).
  • Class
    Description
    Transient, 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).
    How SeedOverlayRenderer should 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).
    TableModel backed by a SeedOverlay.
  • Class
    Description
    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).