The NeuroML model description language, with its extensive software ecosystem, supports researchers in the development of FAIR, data-driven, biologically detailed models of neural systems.

By integrating multiplexed error-robust fluorescence in situ hybridization (MERFISH), deep learning, optical sectioning, and protocol optimization, thick-tissue 3D MERFISH allows volumetric single-cell transcriptome imaging of thick-tissue samples, broadening the scope of applications of spatial genomics.

CTFFIND5 estimates the thickness and tilt of cryogenic electron microscopy samples directly from the power spectrum of a single exposure.