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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: Clin Microbiol Infect. 2020 Mar 22;26(10):1318–1323. doi: 10.1016/j.cmi.2020.03.012

Figure 1. Two-dimensional representation of Gram-stain classifications highlights ability to further subcategorize data.

Figure 1.

Here, a t-statistic nearest neighbor embedding (tSNE) algorithm was used to visualize Gram-stain crop classification data in two-dimensions. Clusters of Gram-positive cocci in long (left, lower) or short chains (left, upper) are readily recognizable. Similarly, Gram-negative rods (right, lower) can be distinguished from coccobacilli (right, upper). This information could later be used to provide additional probabilistic subclassification of organisms.