Comparing the segmentation of quantitative phase images of neurons using convolutional neural networks trained on simulated and augmented imagery.

Augmented data outperformed the simulated abstract data for this testing set. The quality of segmentation of neurites was the key difference in performance between the models. Notably, even humans performed poorly when segmenting neurites. Further work is needed to improve the segmentation quality of neurites.