New traceability and reporting standards aim to improve transparency in stem cell research.

This Review discusses statistical and computational strategies for analyzing various spatial and temporal omics data types, with an emphasis on the common modeling principles.

Community-developed checklists offer best-practice guidance for biologists preparing light microscopy images and describing image analyses for publications.

Making biological research more sustainable requires an accurate assessment of its environmental impact, both at the bench and on the computer.

CellOT combines the benefits of optimal transport and input convex neural architectures to directly learn and uncover maps between control and perturbed cell states at the single-cell level.

A deep learning approach bypasses iterative trials associated with sensorless adaptive optics to compensate for wavefront deformations when imaging biological specimens, enabling improved deep tissue localization microscopy.

Guided sparse factor analysis (GSFA) is a powerful statistical framework to detect changes in gene expression as a result of perturbations in single-cell CRISPR screening.

D-LMBmap is a fully automated pipeline for mesoscale connectomics including deep-learning modules for axon segmentation, brain region segmentation and whole-brain registration. D-LMBmap works accurately across cell types and modalities.

AlteredPQR is a software tool, available as an R package, to infer remodeling of protein functional modules from whole-cell or tissue lysate proteomic measurements.

A Ni²⁺-modified MspA nanopore construct can unambiguously discriminate the 20 proteogenic amino acids as well as several post-translational modifications.

Making biological research more sustainable requires an accurate assessment of its environmental impact, both at the bench and on the computer.

New traceability and reporting standards aim to improve transparency in stem cell research.

An expansion microscopy technique called ChromExM offers detailed views into the organization chromatin and associated gene expression machinery in embryos.