Fig. 3: Differentiation efficiency of various neuron inducers, identified by immunofluorescence.
From: Deep learning-based predictive identification of neural stem cell differentiation
a Images of immunofluorescence using NeuN, GFAP, Tuj1 and Nestin as characteristic markers of NGF/CNTF/NT4/MT-treated cells at 5D (5 days), 3D (3 days) and 1D (1 day). Quantification of immunostaining data. The y-axis shows the number of: b NeuN- and c GFAP-positive cells, n = 3 imaging field repeats. Data are shown as mean ± SEM. Statistical significance was determined by two-sided Welch’s ANOVA. *p < 0.05, **p < 0.01, ***p < 0.001. Scale bar = 100 μm.
