Nature Communications (Feb 2022)

A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution

  • Michele Bortolomeazzi,
  • Lucia Montorsi,
  • Damjan Temelkovski,
  • Mohamed Reda Keddar,
  • Amelia Acha-Sagredo,
  • Michael J. Pitcher,
  • Gianluca Basso,
  • Luigi Laghi,
  • Manuel Rodriguez-Justo,
  • Jo Spencer,
  • Francesca D. Ciccarelli

DOI
https://doi.org/10.1038/s41467-022-28470-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Current high-dimension imaging data analysis methods are technology-specific and require multiple tools, restricting analytical scalability and result reproducibility. Here the authors present SIMPLI, a software that overcomes these limitations for single-cell and pixel analysis of multiplexed images at spatial resolution.