Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
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.
SynapShot combines ddFPs with engineered synaptic adhesion molecules for real-time observation of the structural plasticity of synapses in cultured cells and animals.
SnapATAC2 uses a matrix-free spectral embedding algorithm for nonlinear dimension reduction of single-cell omics data, which shows an improved performance in capturing cellular heterogeneity and scalability for large datasets.
Real-time mid-infrared photothermal imaging of nitrile chameleons enables simultaneous, multiplexed measurement of enzymatic activity in living systems and is poised to reveal the spatiotemporal regulation of enzymes in health and disease.
InfraRed-mediated Image Restoration (IR2) uses deep learning to combine the benefits of deep-tissue imaging with NIR probes and the convenience of imaging with GFP for improved time-lapse imaging of embryogenesis.
Single-cell structure probing of RNA transcripts enables simultaneous determination of transcript secondary structure and abundance in single cells, allowing new insights into RNA structural heterogeneity within and among cells.
The DeepMSA2 pipeline employs iterative alignment search against large genomic and metagenomic sequence databases to construct single- and multichain multiple-sequence alignment (MSA) for proteins. Use of these MSAs shows improvement for deep learning-based protein tertiary and quaternary structure predictions.
smartLLSM uses artificial intelligence-based instrument control to switch between epiflouorescence and lattice light-sheet microscopy to monitor cells at the population level while also capturing multicolor three-dimensional datasets of rare events of interest.
ANCOM-BC2 is developed to perform multigroup differential abundance analysis and allows modeling of covariates and longitudinal measures while controlling false discovery rate (FDR) or mixed directional FDR.
The thermal-plex method for highly multiplexed imaging uses DNA probes activated when briefly elevated to designated temperatures for rapid, fluidics-free sequential imaging in cells and tissues.
The Cousa objective is an ultra-long working distance air objective optimized for two- and three-photon imaging. Bypassing challenges caused by water immersion and short working distances, the Cousa enables and improves imaging of diverse specimens.
Serial Lift-Out creates a series of lamellae from one lift-out volume for cryo-ET, increasing the ease and throughput of cryo-lift-out and enabling the study of molecular anatomy in multicellular systems including C. elegans larvae.
DeepMainmast is a protein structure modeling protocol for cryo-EM that combines the strengths of a deep-learning-based de novo protein main-chain-tracing approach with AlphaFold2-based structure predictions for improved performance.
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.