Machine learning for optical chemical multi-analyte imaging

HIGHLIGHTS

• who: Silvia E. Zieger from the Aarhus University Centre for Water Technology (WATEC), Department of Biology, Section for Microbiology, Aarhus University, Ny Munkegade, Aarhus C, Denmark have published the Article: Machine learning for optical chemical multi-analyte imaging, in the Journal: (JOURNAL)
• what: Expanding on this work, the authors now want to apply ML models to enable multi-analyte imaging in 2D to visualize the heterogeneity of biological environments and the distributions of multiple analytes in 2 dimensions simultaneously. Using a dual analyte sensor for pH and dissolved oxygen, the authors demonstrate the potential of . . .
  

   

  

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