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All-optical multimodal mapping of single-cell-type-specific metabolic activities via REDCAT

Nature Methods Bioinformatics AI Yajuan Li, Zhaojun Zhang, Archibald Enninful, Negin Farzad, Presha Rajbhandari, Hua Tian, Jungmin Nam, Xiaoyu Qin, Jorge Villazon, Anthony A. Fung, Hongje Jang, Zhiliang Bai, Nancy R. Zhang, Brent R. Stockwell, Rong Fan, Mina L. Xu, Zongming Ma, Lingyan Shi 2026-08-27

TL;DR - REDCAT is an all-optical tissue-mapping method that combines stimulated Raman scattering microscopy with high-plex immunofluorescence to profile cell-type-specific molecular and metabolic features. It enables multimodal single-cell analysis while preserving spatial tissue context.

  • Integrates label-free Raman-based imaging with multiplexed protein detection.
  • Profiles proteins, lipids, nuclear metabolites, and redox metabolism at single-cell resolution.
  • Links metabolic activity to specific cell types within intact tissue.
  • Supports spatially resolved construction of richer cellular atlases.

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