Quantitative chemometric phenotyping of three-dimensional liver organoids by Raman spectral imaging

• DOI: 10.1016/j.crmeth.2023.100440
• Publication Date: 2023-03-31T15:40:57Z
• Authors: Vernon LaLone; Aleksandra Aizens...; John Goertz; Frøydis Sved Skot...; Marco Barbero Mota; Junji You; Xiaoyu Zhao; Henriette Engen Berg; Justyna Stokowiec; Minzhi Yu; Anna Schwendeman; Hanne Scholz; Steven Ray Wilson; Stefan Krauss; Molly M. Stevens
• Keywords: Organoid; Bioanalysis; Biomolecule; Biological specimen; Quantitative Analysis

Confocal Raman spectral imaging (RSI) enables high-content, label-free visualization of a wide range molecules in biological specimens without sample preparation. However, reliable quantification the deconvoluted spectra is needed. Here we develop an integrated bioanalytical methodology, qRamanomics, to qualify RSI as tissue phantom calibrated tool for quantitative spatial chemotyping major classes biomolecules. Next, apply qRamanomics fixed 3D liver organoids generated from stem-cell-derived or primary hepatocytes assess specimen variation and maturity. We then demonstrate utility identifying biomolecular response signatures panel liver-altering drugs, probing drug-induced compositional changes followed by