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. 2017 Aug 4;3(8):e1700606. doi: 10.1126/sciadv.1700606

Fig. 4. Representation learning by HoloConvNet: Dry mass as a key biological trait.

Fig. 4

The interspecies difference in cellular dry mass is automatically recognized and used for screening of anthrax spores. (A to C) The activation of the “anthrax neuron” at the output layer shows a strong correlation with dry mass. a.u., arbitrary units. (D) Dry mass of individual Bacillus spores calculated from the quantitative phase images. (E) Computationally disabling the dry mass information significantly impairs the performance of HoloConvNet. Dry mass alone is not enough for full performance as well. Data in (D) are presented as box-and-whisker plots displaying median and interquartile ranges. The error bars in (E) indicate the SD calculated from 10 classification models with different random initializations.