Histology articles from across Nature Portfolio

Rapid and effective molecular subtyping of pancreatic adenocarcinoma (PDAC) is important for prognosis and treatment. Here, the authors develop PACpAInt, a deep learning model for PDAC molecular subtyping from whole-slide histological imaging that enables the analysis of heterogeneity and prognostic predictions.

Multiplexed imaging technologies can reveal the complex cellular and molecular profiles of tissue. Here, the authors develop and implement a denoising pipeline to significantly enhance imaging mass cytometry quality and improve single-cell analyses.

A new twist on expansion microscopy called Magnify uses a mechanically sturdy gel to simultaneously anchor and expand diverse biological samples for super-resolution imaging.

Highly multiplexed tissue imaging continues to show its power for biomedical discovery. In this issue, we publish tools and guidance for implementing this class of methods and reporting subsequent results.

Histologically stained slides can be generated from unlabelled autofluorescence images of tissue samples via deep learning.