| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| tags: |
| - biology |
| - microalgae |
| - pigment |
| - CNN |
| - spectrophometry |
| - spectra |
| --- |
| |
| # Trained CCN for microalgal pigment spectrophotometric quantification |
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| Repository hosting the trained CNNs associated with the article (availablme in open access): |
| [A deep learning framework for spectrophotometric quantification of key microalgal pigments.](https://www.sciencedirect.com/science/article/pii/S2666827026000447) |
| Bayomie, O., & Pozzobon, V. (2026). |
| *Machine Learning with Applications*, 100879. |
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| ## Structure |
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| It contains the optimized model (stored as an .h5 file) for lutein and zeaxanthin (hybrid architecture). In addition, the different models reported in Table 3 of the article are uploaded in the folder *Table_3_Models*. |
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| Predictions for lutein |
|  |
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| ## Contact |
|
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| Please feel free to contact me. You can find my details on: https://victorpozzobon.github.io/ |
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|
