A new study combines the latest imaging techniques with advanced data analysis and machine learning to uncover a never-before-seen preservation of 400 million-year-old fossils.
matrix—a very hard mineral—which has ensured that they are "pristinely preserved" both morphologically and, as her study has revealed, molecularly, too.
It works by shining infrared light onto a sample and measuring the wavelengths of light absorbed by the molecules within the sample. "For example, we teach the machine to differentiate the spectrum of a fossil X from the spectrum of a fossil Y by indicating this is X and this is Y . Then, we test it by asking how it would classify another unlabelled dataset."
"The specimens we studied in our work possess a molecular fingerprint lacking the features that characterize fungal fingerprints, hence our conclusion that they were most probably representing something closer to plants in terms of molecular composition."
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