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.
The cover shows a sample of single-particle image data overlaid with tracking result trajectories from a competition to assess the performance of single-particle tracking algorithms. Image by Erik Meijering. Analysis p281
Single-molecule super-resolution techniques emerged only several years ago but have revolutionized fluorescence microscopy of cellular structures. We discuss some key principles of these techniques, point out pitfalls, highlight recent developments and identify opportunities for the future.
A first community experiment comparing the performance of analysis methods for single-particle tracking data declares no winner but reveals valuable information for users and developers.
This first of two review articles provides an overview and practical introduction to the precise and accurate localization of single emitters for single-particle tracking and super-resolution localization microscopy.
This second Review introduces readers to the many algorithms used to localize fluorophores in localization-based super-resolution imaging and offers practical advice to guide their choice and usage.
The first community competition designed to objectively compare the performance of particle tracking algorithms provides valuable practical information for both users and developers.
The genome-wide annotation of variants (GWAVA) software predicts whether noncoding variants are likely to be functional using a classifier trained on a range of genomic and epigenomic annotations.
A microfluidic platform creates nanochannels from collapsed microchannels for multisecond single-molecule FRET measurements of untethered biomolecules by total-internal-reflection fluorescence microscopy.
A statistical method, label-sparse quantification, and software tool, SparseQuant, allows targeted proteins to be quantified by selected reaction monitoring mass spectrometry without requiring a full set of isotope-labeled reference peptides.
A statistical approach using a linear mixed model and principal-component analysis discovers phenotype-specific changes in epigenomes without requiring information on cell type composition.
Variations on point accumulation for imaging in nanoscale topography (PAINT) for super-resolution imaging extend the technology to allow simple imaging of cellular proteins as well as synthetic DNA nanostructures and provide a high level of multiplexing.
A streamlined, robust sample-preparation method for mass spectrometry–based proteome analysis is reported. All sample preparation steps are carried out in a single enclosed reactor, reducing the potential for contamination and losses, and enabling comprehensive proteome coverage.
A recently described red-shifted channelrhodopsin permits control of complex behaviors in freely moving adult flies and reveals the functional modulation of courtship behavior by social experience.
Similarity network fusion (SNF) is an approach to integrate multiple data types on the basis of similarity between biological samples rather than individual measurements. The authors demonstrate SNF by constructing patient networks to identify disease subtypes with differential survival profiles.
Sequencing the transcriptomes of more than 100 species of alga yields new channelrhodopsins with promising properties for optogenetics. A far red–shifted channelrhodopsin, Chrimson, opens up new behavioral capabilities in Drosophila, and alongside a fast yet light-sensitive blue channelrhodopsin, Chronos, enables independent excitation of two neuronal populations in brain slices.