Shanaya Shital Shah, Stella R Hartono ... Wolf-Dietrich Heyer
D-loops are critical intermediates in homologous recombination, and the novel D-loop mapping assay defines position, length, and distribution of D-loops with near base-pair resolution.
Aberration correction using 3D microprinting in ultrathin microendoscopes allows two-photon imaging of large neuronal networks with homogeneously high spatial resolution and minimal invasiveness in the deep mouse brain.
A new system to genetically label and manipulate plasma cells in vivo in their microenvironment resolves current technical limitations and reveals tissue-specific homeostatic population turnover.
Rui Tang, Christopher W Murray ... Monte M Winslow
A novel reporter system that employs cell surface antigen-nanobody pairing enables physical interaction-dependent labeling and functional modification between diverse cell types.
anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
Timothy J Duerr, Ester Comellas ... James R Monaghan
Whole mount 3D visualization of macromolecule synthesis with light sheet fluorescence microscopy enables quantitative, multiscale analysis at the organ, cellular, and molecular levels of organization.
New protein labeling strategies unravel the subcellular distribution of neurotransmitter receptor subunits and voltage-gated ion channels in motion-sensing T4/T5 neurons of the Drosophila visual system.
The DIAMonDS can automatically and sequentially identify time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and large scale.
Automated liquid handling, whole mount staining, and clearing allow unbiased 3D quantitation of cell markers in human neural organoids with diameters of up to 1 mm at the single-cell level.
Johannes Thomsen, Magnus Berg Sletfjerding ... Nikos S Hatzakis
An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.