TABLE 4.
Deep-learning classification of biofilm patterns on chalcopyrite after 12 days of incubation and addition of 5 μM DSF
| Actual class | Predicted class (+ DSF/control)a |
|||||
|---|---|---|---|---|---|---|
| A | L | S | AS | LS | ALS | |
| A | 89/89 | 6/0 | 3/3 | NA | NA | 8/3 |
| L | 6/3 | 86/92 | 3/0 | NA | 6/NA | 3/3 |
| S | 6/3 | 0/3 | 83/89 | NA | 6/NA | 6/6 |
| LS | 10/8 | 33/3 | 4/0 | 11/NA | 38/83 | 4/6 |
| ALS | 3/3 | 3/3 | 6/3 | NA | NA/3 | 89/89 |
a
Probabilities (%) were assigned by the deep-learning analysis for the similarity of 36 images to the CNN class prediction. CNNs were trained with 600 images from five-day-old mineral cultures with different inoculum compositions of A. caldus (A), L. ferriphilum (L), and S. thermosulfidooxidans (S) that were used as pure or mixed cultures, resulting in the following categories: A, L, S, AS, LS, and ASL. NA, not analyzed.