Molecular imaging articles from across Nature Portfolio

BARseq interrogates the expression of 104 cell-type marker genes in 10.3 million cells over nine mouse forebrain hemispheres to reveal the role of peripheral inputs on cortical area development.

This protocol describes the preparation of long-lasting aggregation-induced emission-based, near-infrared afterglow luminescence nanoprobes. Their enhanced afterglow intensity results in improved imaging sensitivity and depth in vivo.

Bioimaging with photocontrol and multiplexing capability is vital for studying cellular interactions and dynamics, but multiplexed stimulated Raman scattering (SRS) imaging with reversible photocontrol is elusive. Here, the authors report SRS microscopy with Carbow-switch enabling multiplexed SRS imaging and tracking in live cells with reversible photocontrol and high spatiotemporal selectivity.

SpatialData is a user-friendly computational framework for exploring, analyzing, annotating, aligning and storing spatial omics data that can seamlessly handle large multimodal datasets.

Spatial metabolomics has matured and is driving innovation in mass spectrometry, metabolomics and spatial omics. With exciting discoveries, complementary capabilities and increasing accessibility, it has secured its place in the spatial biology toolbox, showing promise in biology, medicine and pharmacology.

Ribosome-bound mRNA mapping (RIBOmap) enables three-dimensional in situ detection of spatially resolved protein synthesis in single cells.

Prostate-specific membrane antigen-PET has become a valuable diagnostic tool. The second version of the Prostate Cancer Molecular Imaging Standardized Evaluation framework is the next step towards a standardized evaluation and reporting system from primary staging to reassessment of advanced prostate cancer.

The Minimum Information for High Content Screening Microscopy Experiments (MIHCSME) is a metadata model and reusable tabular template for sharing and integrating high content imaging data. It has been developed by combining the ISA (Investigations, Studies, Assays) metadata standard with a semantically enriched instantiation of REMBI (Recommended Metadata for Biological Images). The tabular template provides an easy-to-use practical implementation of REMBI, specifically for High Content Screening (HCS) data. In addition, ISA compliance enables broader integration with other types of experimental data, paving the way for visual omics and multi-Omics integration. We show the utility of MIHCSME for HCS data using multiple examples from the Leiden FAIR Cell Observatory, a Euro-Bioimaging flagship node for high content screening and the pilot node for implementing Findable, Accessible, Interoperable and Reusable (FAIR) bioimaging data throughout the Netherlands Bioimaging network.

In patients with complex coronary lesions, percutaneous coronary intervention guided by intravascular imaging improved cardiovascular outcomes compared with percutaneous coronary intervention guided by angiography.

Recent technological advances in mass spectrometry promise to add single-cell proteomics to the biologist’s toolbox. Here we discuss the current status and what is needed for this exciting technology to lead to biological insight — alone or as a complement to other omics technologies.