Fig. 11: Statistical testing for cell shape heterogeneity in SES-3 min substrates vs. MEW substrates. | Microsystems & Nanoengineering

Fig. 11: Statistical testing for cell shape heterogeneity in SES-3 min substrates vs. MEW substrates.

From: Machine learning metrology of cell confinement in melt electrowritten three-dimensional biomaterial substrates

Fig. 11

a Univariate feature selection results in descending order obtained from one-way ANOVA F-tests. Univariate score (US) is equal to the ratio of the variance across the two different classes to the variance within class. The feature demonstrating the highest and the lowest US values are the most and the least significant for the classification task performed by the SVM machine learning algorithm. b Coefficient of variation [%] of the two most and the two least significant features based on the univariate scoring results

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