Fig. 1: Large-scale automated segmentations necessitate proofreading insensitive cell classifications. | Nature

Fig. 1: Large-scale automated segmentations necessitate proofreading insensitive cell classifications.

From: Perisomatic ultrastructure efficiently classifies cells in mouse cortex

Fig. 1

a, Rendering of a small fraction of neurons from the MICrONS dataset (1.1 mm × 800 μm × 600 μm) covering all layers of cortex and several visual areas, with 1,207 rendered and then cut away to reveal the full morphology of 2 selected neurons on the right portion of the dataset. b, Example neuronal morphologies before and after proofreading. Left, excitatory neuron; right, inhibitory neuron. c, Fraction of input and output synapses removed (left), added (middle) and maintained (right) after proofreading for 1,347 neurons. For all box plots: centre line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; outliers not shown (visible in the adjacent scatter plots). d, Neurons near the volume borders will have truncated morphologies. e, Top: histogram of the radial extent of dendrites from a sample of 1,347 proofread neurons15 (left) and the cumulative distribution of those cells (right). Bottom: histogram of the minimum distance from a volume border for all high-quality nuclear detections (n = 94,010; left) and the cumulative distribution of those distances (right). The grey shading indicates the portion of cells less than the median radial extent (33% of cells), shown in teal.

Back to article page