We describe SCCAF a computational approach to identify putative cell clusters from single-cell RNA-seq data. SCCAF automatically identifies the “ground truth” cell assignments with high accuracy in various benchmark datasets and captures the discriminative feature genes of the cell types.

We modified the commercially available microraft array technology with standard confocal imaging techniques to perform an imaging-based CRISPR screen for regulators of a protein localization phenotype.

We describe a kethoxal-assisted single-stranded DNA sequencing (KAS-seq) approach. KAS-seq allows rapid (within 5 min), sensitive and genome-wide capture and mapping of ssDNA produced by transcriptionally active RNA polymerases or other processes in situ using as few as 1,000 cells.

Oligomerisation of membrane proteins remains a field characterized by intense research interest, due to the large number of pharmacological and clinical implications that the formation of molecular complexes of signaling proteins carries.

We present Spatial PAttern Recognition via Kernels (SPARK) as an effective statistical tool to identify genes with spatial expression patterns in spatially resolved transcriptomic studies. A particular feature of SPARK is its ability to produce calibrated p-values for spatial analysis.

An adaptive excitation source enables two- and three-photon imaging of the awake mouse brain with high spatial and temporal resolution at 30-fold-reduced laser power relative to conventional approaches.

Measuring ATG16L1 phosphorylation as an alternative method to monitor autophagy induction

The European XFEL (EuXFEL) is an X-ray source that produces femtosecond X-ray pulses at megahertz repetition rates. Time-resolved crystallographic investigations on biological reactions constitute an important class of experiments. We demonstrate how such a reaction is followed at the EuXFEL.