ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images

ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images

Abstract Hematoxylin and eosin (H&E) is a common and inexpensive histopathology assay. Though widely used and information-rich, it cannot directly inform about specific molecular markers, which require additional experiments to assess. To address this gap, we present ROSIE, a deep-learning frame...

Full description

Saved in:
Bibliographic Details
Main Authors: Eric Wu, Matthew Bieniosek, Zhenqin Wu, Nitya Thakkar, Gregory W. Charville, Ahmad Makky, Christian M. Schürch, Jeroen R. Huyghe, Ulrike Peters, Christopher I. Li, Li Li, Hannah Giba, Vivek Behera, Arjun Raman, Alexandro E. Trevino, Aaron T. Mayer, James Zou
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-62346-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41467-025-62346-0

Similar Items