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Machine learning for optical chemical multi-analyte imaging: Why we should dare and why it’s not without risks
Simultaneous sensing of metabolic analytes such as pH and O(2) is critical in complex and heterogeneous biological environments where analytes often are interrelated. However, measuring all target analytes at the same time and position is often challenging. A major challenge preventing further progr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185573/ https://www.ncbi.nlm.nih.gov/pubmed/37071140 http://dx.doi.org/10.1007/s00216-023-04678-8 |