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.

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.

This study demonstrates the need and advantage of uniformly quantifying single-nucleus ATAC-seq data using Paired-Insertion Counting.

MAbID offers a multiplexing approach to uncover the genomic distributions of various epigenetic markers, enabling the study of how these markers jointly direct gene expression.

Labs range in size, and no one size is likely to fit all. Here some researchers share their lab size experiences and preferences.

This month we continue our annual celebration of beautiful images.

Newly developed DNA devices can be used to study intracellular sodium and potassium ion levels with organellar resolution.