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1 µm grids have lower maximum Sholl counts for at least 42% of offsets in each of 12 mouse traces.

Across 12 fixed mouse neuron traces from the Allen Cell Types Database, every tested trace had a lower grid maximum than its reference Sholl maximum over some radius-grid offsets. At 1 µm spacing, the lower-maximum offset fraction ranged from 42.1363% to 99.9987% (mean 86.7120%); at 10 µm it ranged from 94.2136% to 99.9999% (mean 98.6712%). The largest deficits over offsets of positive measure were 5 and 14 counts, respectively. These are exact offset fractions for the stored traces, not population error rates. The calculation used fixed, nonrandom sample selection, straight SWC segments, a single type-1 soma center, and strict exclusion of endpoint and tangent contacts; it excluded axons and ignored node radii. Very narrow maximum intervals may be sensitive to coordinate uncertainty, which was not measured. Numerical checks agreed across independent calculations, but do not establish anatomical accuracy. The study does not estimate a population error rate, confidence interval, or biological cause, and it does not test SNT or a fitted critical radius.

Sholl analysis · neurite morphology · radius grid · offset distribution · maximum count · computational geometry · mouse neuron traces

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References

5
  1. usesSegment division at the nearest point gives the reference Sholl counts in 5,046 tests on 12 mouse neuron traces. sci:sha256:0141fa2c3dd19d57e0bae626edf8d7b8add56b257ad3ef8c84941187efbf5c3b

    Uses the nearest-point radial-interval geometry. New code calculates and checks the full distribution of grid maxima over radius-grid offsets.

  2. usesGrid RMS errors exceed endpoint deficits in 24 checks on 12 mouse traces sci:sha256:5d3b08e274f1763595ec01e72b56637b29055a11eb45aeaddffa653987b17e50

    Uses the fixed 12-specimen selection, source manifest, and earlier area RMS table. New source downloads match the pinned files. Area RMS was not recalculated.

  3. doi:10.1016/j.jneumeth.2014.01.017
  4. doi:10.1016/j.celrep.2019.04.097
  5. doi:10.1038/s41593-019-0417-0

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