A self-localized, ultrafast pencil beam can be readily introduced into multiphoton microscopes and applied for near-diffraction-limited, high-throughput volumetric imaging in intact tissues and in vitro models.

This study investigates technical noise in Xenium spatial transcriptomics data, including transcript spillover, and introduces SPLIT to resolve mixed signals and enhance cell-type specificity.

This Perspective provides minimum community standards and best-practice guidelines for hydroxyl radical protein footprinting–mass spectrometry, including experimental design, sample preparation and oxidation, processing of oxidized samples, and analysis and interpretation of the resulting data.

AI agent systems are now being built on top of large language models, and they can conduct autonomous analyses. Choosing among the offerings takes a balance of curiosity, excitement and skepticism.

This resource leverages spatial and single-cell transcriptomics to investigate lncRNAs in cancer and reports 94,795 previously unannotated lncRNAs and new approaches to infer their functions.

A device for simultaneous photometry and electrophysiology allows recordings in freely moving mice without restriction or inhibition of movement or entanglement of the fiber and cables.

FILM is a mid-infrared photothermal microscopy variant that involves optical boxcar demodulation-based illumination, denoising and spectral deconvolution. Its relatively gentle nature allows imaging of metabolic processes in organelles in cell culture as well as in Caenorhabditis elegans.

\({\rm{Micro}}{\mathbb{S}}{\rm{plit}}\) is a computational unmixing method for multiplexed fluorescence imaging of up to four structures per imaging channel.

UDMT is a multi-animal tracker for behavioral research that is based on a transformer architecture, which negates the need for manually annotated training data. UDMT is showcased on datasets encompassing mice, rats, Drosophila, C. elegans and betta fish.

This study investigates technical noise in Xenium spatial transcriptomics data, including transcript spillover, and introduces SPLIT to resolve mixed signals and enhance cell-type specificity.

Hypothesis generation is fundamental to science. What happens when we outsource this task to a machine?

Sequence Display enables unbiased, large-scale mapping of protein sequence–activity landscapes, providing rich datasets for machine-learning-guided protein engineering.

It is not certain that everything is uncertain. —Blaise Pascal

AI agent systems are now being built on top of large language models, and they can conduct autonomous analyses. Choosing among the offerings takes a balance of curiosity, excitement and skepticism.