Science Advances

Supplementary Materials

This PDF file includes:

  • fig. S1. Representative images of individual Bacillus spores.
  • fig. S2. Morphological features of individual Bacillus spores.
  • fig. S3. Confusion matrices illustrating the performance of HoloConvNet.
  • fig. S4. Dry mass of individual Bacillus spores measured on different days.
  • fig. S5. Comparison of Listeria identification techniques.
  • fig. S6. Dry mass of individual bacteria from the Listeria species.
  • table S1. Detailed data on Bacillus spores.
  • table S2. Detailed architecture of HoloConvNet.
  • table S3. Performance of HoloConvNet on multiclass classification of the five Bacillus species.
  • table S4. Performance of HoloConvNet on binary classification of the five Bacillus species.
  • table S5. Performance of HoloConvNet on binary classification of the three Bacillus species.
  • table S6. Performance of conventional machine learning techniques in morphology-based identification of Bacillus spores.
  • table S7. Performance of conventional machine learning techniques in holographic identification of Bacillus spores.
  • table S8. Detailed description of the Listeria data.

Download PDF

Files in this Data Supplement: