FIGURE

FIG 4

ID
ZDB-FIG-201003-225
Publication
Yakimovich et al., 2020 - Mimicry Embedding Facilitates Advanced Neural Network Training for Image-Based Pathogen Detection
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FIG 4

Mimicry embedding can be used for weak-labeling particle classification. (A) Merged four channel fluorescent image of a HeLa cell infected with VACV previously unseen by CapsNet (see Fig. S4A for channel details). (B) ZedMate detection and trained-CapsNet-predicted extracellular and intracellular particles. (Inset) Quantification of intracellular particles. (C) Merged four-channel image of HeLa cell infected with VACV and treated with the entry inhibitor IPA-3, previously unseen by CapsNet. (D) ZedMate detection and trained CapsNet inference of intracellular and extracellular particles. (Inset) Quantification of intracellular particles. (E) Representative reconstruction profiles of extra- and intracellular virions. (F) Representative mimicry-embedded extra- and intracellular VACV particles for comparison to the images in panel E. n = 40 (3 biological replicates) untreated and treated cells each. Detailed model performance (statistical validation) metrics are provided in Fig. S4. Bars, 10 μm.

Expression Data

Expression Detail
Antibody Labeling
Phenotype Data

Phenotype Detail
Acknowledgments
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