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

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

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 image...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2022-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-28470-x

Internet

https://doi.org/10.1038/s41467-022-28470-x

Similar Items