pymaid.has_soma(x, tag='soma', min_rad=500, return_ids=False, remote_instance=None)[source]

Check if neuron(s) has soma.

  • x

    Neurons which to check for a soma. Can be either:

    1. skeleton ID(s) (int or str)

    2. neuron name(s) (str)

    3. annotation(s): e.g. ‘annotation:PN right’

    4. CatmaidNeuron or CatmaidNeuronList object

  • tag (str | None, optional) – Tag we expect the soma to have. Set to None if not applicable.

  • min_rad (int, optional) – Minimum radius of soma.

  • return_ids (bool, optional) – If True, will return node IDs of soma(s) found instead of simply if a soma has been found.

  • remote_instance (CatmaidInstance, optional) – If not passed directly, will try using global.


If return_ids=False:

{skid1: True, skid2: False, ...}

If return_ids=True:

{skid1: [node_id], skid2: [node_id], ...}

Return type