Fig. 2 The results of k-means clustering and principal component analysis (PCA) of each cluster. (IMAGE)

Osaka University

Fig. 2 The results of k-means clustering and principal component analysis (PCA) of each cluster.

Caption

Upper left panel for each cluster: The pie charts indicate the proportion of the cluster occupied by each bacterial strain. Upper right panel for each cluster: The average shape of the cells in the cluster is shown; the solid line represents the mean and the dotted lines represent the standard deviation. The vertical and horizontal axes are in μm. Bottom panel for each cluster: The results of the PCA for each cluster are shown. The ellipse contains approximately 68% of the cells from each strain. The arrows represent the loadings of each feature. P = the parental strain; BL = β-lactam-, AG = aminoglycoside-, TC = tetracycline-, CP = chloramphenicol-, ML = macrolide-, TP = trimethoprim-, QN = quinolone-resistant strains; MaxFeret = maximum Feret’s diameter; MinFeret = minimum Feret’s diameter.

Credit

2024 Nishino et al., Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning., Frontiers in Microbiology

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