As we begin a new year, we reflect on some of our favorites among the papers published in 2023 in Nature Methods.

As money pours into aging research, the field can combine its many methods to home in on what underpins aging. Approaches differ, but researchers share the desire to not overpromise quick-fix anti-aging methods.

CytoCommunity enables both supervised and unsupervised analyses of spatial omics data in order to identify complex tissue cellular neighborhoods based on cell phenotypes and spatial distributions.

Neurodesk is a platform for analyzing human neuroimaging data, which provides numerous tools in a containerized form, thereby ensuring reproducibility and portability.

A square electron beam improves imaging of large fields of view in transmission electron microscopes by facilitating montage tomography of vitrified specimens with no loss in data quality relative to conventional round beams.

RNA family sequence generator (RfamGen) is a deep generative model for designing novel, functional RNA sequences. RfamGen is applicable to diverse RNA families and can yield ribozymes with higher enzymatic activity.

Content-aware frame interpolation (CAFI) improves the temporal resolution in time-lapse imaging by accurately predicting images in between image pairs. By allowing fewer frames to be imaged, CAFI also enables gentler live-cell imaging.

DoTA-seq leverages a microfluidic droplet system to isolate and lyse diverse microbes and amplify target genetic loci, enabling high-throughput single-cell sequencing of microbial populations.

Temporal analysis of relative distances (TARDIS) is a conceptually new alternative to traditional single-particle tracking methods that overcomes challenges associated with high particle density, emitter blinking and spurious localizations.

This work introduces ARTR-seq for in situ measurement of RNA-binding protein (RBP) binding sites, which has been demonstrated in a small number of cells and for capturing dynamic RBP binding within short timeframes.

As we begin a new year, we reflect on some of our favorites among the papers published in 2023 in Nature Methods.

Facemap tracks keypoints on the mouse face and feeds the information into a deep neural network to predict neural activity.