Figure 1.

Construction of a tangled neuronal dataset of images at the whole-brain level

(A) The pipeline of constructing a neural image dataset includes data extraction, image density grading, and image isotropy.

(B) The extraction of neuron images is an inconsistency in multiple manual reconstructions. B1–B5 represent difficult-to-recognize images of neurons in different positions, using B1 as an example for explanation. Scale bar, 50 μm.

(C) The density grading of neural images is divided into different density levels through algorithms. Scale bar, 20 μm.