Volume 15 Issue 6, June 2018

A new imaging approach forged by deep friendships, joining two fields and two selves.

There is such a thing as too much of a good thing.

Two approaches apply deep learning to improve single-molecule localization microscopy.

Inside a mouse brain, human cerebral organoids can show their potential.

Chromatin-associated RNA sequencing elucidates the role of RNAs in genome regulation.

Biobeam is a software package that simulates optical effects during imaging within scattering tissue, which could help improve image acquisition and extraction.

PDB-Dev hosts integrative structural models of biomolecular assemblies solved by hybrid methods.

Multipotent stem cells can become a variety of cell types. A flurry of new approaches enable lineage tracing at single-cell resolution.

This Perspective highlights recent advances in the use of nanoparticles in super-resolution microscopy and single-molecule tracking. It offers guidance for users interested in these tools and discusses potential future directions.

Instant structured illumination and total internal reflection fluorescence microscopy are combined to carry out time-lapse super-resolution TIRF imaging at frame rates up to 100 Hz, enabling observation of fast biological processes.

A miniature light-field microscope in combination with a signal-extraction approach enables high-speed volumetric calcium imaging in freely moving mice.

dCas9 fused to ascorbate peroxidase (APEX2) biotinylates proteins around targeted loci so they can be enriched and characterized.

After CRISPR-mediated targeting of the peroxidase APEX2 to a genomic locus of interest, the proteins at that locus are labeled, enriched and identified via quantitative proteomics.

BoxCar, a mass spectrometry data acquisition method, greatly increases sensitivity and the detection of low-abundance peptides with a minimal amount of instrument time.

Several methods make it possible to obtain depth information in 3D super-resolution microscopy. Here the authors exploit a self-interference phenomenon to allow deep imaging within tissue samples, as well as isotropic imaging.

The computational pipeline Picky detects the full spectrum of structural variants and their breakpoints in long nanopore sequence reads.

NGMLR and Sniffles perform highly accurate alignment and structural variation detection from long-read sequencing data.