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Fig. 2 | BMC Bioinformatics

Fig. 2

From: RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis

Fig. 2

Usage of traditional thresholding and AI-based methods for segmentation across diverse bacterial species. RABiTPy demonstrates segmentation performance using algorithm-based or adaptive thresholding and AI-based methods on bacterial images with varying shapes and densities. While both approaches enable accurate segmentation, AI-based methods excel in densely populated and crowded environments, ensuring reliable motility tracking

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