What is it about?

Presents a promising machine learning method for revealing the ink inside CT scans of ancient, unopened scrolls. This method can accurately identify the location of ink in a CT scan of a known scroll and shows success identifying the ink on an authentic fragment. The key factors to success are scan resolution and capturing more, authentic training data.

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Why is it important?

The scrolls come from the only surviving library from antiquity (Herculaneum) and they are extremely fragile. Physically opening the scrolls would destroy them, but a digital method for reading them could reveal lost works of great importance.

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This page is a summary of: From invisibility to readability: Recovering the ink of Herculaneum, PLoS ONE, May 2019, PLOS, DOI: 10.1371/journal.pone.0215775.
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