Flexible and fatigue-resistant optical fibers made from hydrogel allow optogenetic manipulations in the periphery in freely behaving mice.

This Perspective introduces advances in quantitative phase imaging and artificial intelligence-based image analysis and further describes how the two technologies intersect and synergize to enable biomedical research.

This analysis leverages experimentally sequenced data and in silico mixtures to simulate transcript expression differences, which enables a performance assessment of long-read tools developed for isoform detection, differential transcript expression analysis and differential transcript usage analysis.

Ultrasound-based modalities are revealing the brain’s inner workings with steadily increasing speed, resolution and depth.

Foambryo is an analysis pipeline for three-dimensional force-inference measurements in developing embryos.

TubULAR is an in toto tissue cartography method for mapping complex dynamic surfaces

Targettrack is a deep-learning-based pipeline for automatic tracking of neurons within freely moving C. elegans. Using targeted augmentation, the pipeline has a reduced need for manually annotated training data.

MISCOs are spatially arranged ventral midbrain–striatum–cortical organoids that enable investigations into the human dopaminergic system.

SEVtras is an algorithm that uses single-cell RNA sequencing data to assess small extracellular vesicle activity at droplet resolution.

This paper proposes quantitative modeling of single-cell ATAC-seq data, which improves various downstream analyses.

Large language models are learning the language of genomics.

Developments in nanopore-based peptide detection and sequencing show promise of a breakthrough.

Spatially resolved multimodal omics offers a collective way to capture molecular information in complex tissues.

High-resolution connectomics of the human brain is the next frontier in neuroscience.

New twists on established methods and multimodal imaging are poised to bridge gaps between cellular and organismal imaging.