tree op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.tree_sholl(tree, radii=None, n_radii=50, plane=None, center=None) (implementation को सीधे call करना हो तो import treemorph; treemorph.tree_sholl(tree, radii=None, n_radii=50, plane=None, center=None), registry से लेना हो तो opsgraph.get("tree_sholl"))
Sholl analysis: root के चारों ओर spheres (3-D) या circles (projection) को पार करने वाले segments।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
radii are the shell radii (ascending, positive); if omitted, n_radii shells at the mid-points of equal steps up to the largest distance from the centre (never exactly on a node's distance). A shell passing exactly through a node is ambiguous under rounding — a rotation may move that node by one ulp to either side. plane=None measures in 3-D; plane="xy" | "xz" | "yz" drops the third axis first — what a single image sees. center defaults to the root position.
A segment (parent-child) crosses radius r when its end points lie strictly on opposite sides of r (the endpoint rule). Returns radii, crossings (int array), max_crossings, radius_at_max and integral — the exact area under the whole continuous Sholl curve, computed from the segments' intervals (independent of where the shells are placed).
Identities: in 3-D the crossings are invariant, integer for integer, under any rotation about the centre; and integral equals sum |d_child - d_parent| (the tests also check that the mid-point sum of the sampled crossings converges to it — a second implementation).
Raises ValueError: not a tree table; plane not one of None/xy/xz/yz; radii not 1-D, not finite, not positive or not strictly increasing; n_radii < 1.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_swc_tree_truth — py -3.11 examples/poc_swc_tree_truth.py
• poc_worm_neurites_grow — py -3.11 examples/poc_worm_neurites_grow.py
table को input के रूप में लेते हैं)graph_edge_consensus · graph_core_persistence · tree_morphometry · tree_run_length
tree)tree_from_swc · tree_morphometry · tree_run_length
*Provenance: treemorph.py — GRAPH operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.