View source: R/hemibrain_read_neurons.R
hemibrain_clean_skeleton | R Documentation |
Remove synapse-less branches from axons and dendrites, and clean up
the primary neurite and primary dendrite (linker) of a neuron. Given neurons must have been split
by either flow_centrality
or hemibrain_flow_centrality
.
hemibrain_flow_centrality
to re-root and split neurons into putative
axons and dendrites. Optionally, it may also convert neurons from their raw voxel
space (as they are stored in NeuPrint) to microns.
hemibrain_clean_skeleton(x, rval = c("pruned", "neuron", "points"), ...)
x |
a |
rval |
whether to return a pruned neuron, a neuron with the synapse-less branches
set to |
... |
methods passed to |
the neuron or neuron list object inputted, with centripetal flow centrality information added to neuron$d and a segregation index score. The neuron$d$Label now gives the compartment, where axon is Label = 2, dendrite Label = 3, primary dendrite Label = 4 and primary neurite Label = 7. Soma is Label = 1.
hemibrain_splitpoints
, hemibrain_flow_centrality
,
hemibrain_precomputed_splitpoints
, hemibrain_metrics
,hemibrain_remove_bad_synapses
# Choose neurons
## In this case some antennal lobe local neurons
al.local.neurons = c("1702323386", "2068966051", "2069311379", "1702305987", "5812996027",
"1702336197", "1793744512", "1976565858", "2007578510", "2101339904",
"5813003258", "2069647778", "1947192569", "1883788812", "1916485259",
"1887177026", "2101348562", "2132375072", "2256863785", "5813002313",
"5813054716", "5813018847", "5813055448", "1763037543", "2101391269",
"1794037618", "5813018729", "2013333009")
# Only use first three neurons for documentation purposes
al.local.neurons=al.local.neurons[1:3]
# Get neurons
neurons = neuprintr::neuprint_read_neurons(al.local.neurons)
# Split neurons
neurons = hemibrain_flow_centrality(neurons)
# Clean neurons
neurons.cleaned = hemibrain_clean_skeleton(neurons)
## Not run:
# Plot the split to check it
nat::nopen3d()
nlscan_split(neurons.cleaned, WithConnectors = TRUE)
## End(Not run)
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