A generalizable computational approach automatically identifies individual common marmosets to serve as support for presenting and analyzing behavioral tasks without relying on extensive manual work.
Modularized spike sorting pipelines can identify performance bottlenecks, lower contribution barriers, and enable the development of highly accurate algorithms to turn extracellular recordings into spikes.
The open-source closed-loop system enables mice to learn modulation of cortical activity or movement by providing a platform for testing brain-behavior relationships in motor learning and neurorehabilitation research.
An optimized rabies virus-based methodology enables efficient monosynaptic input mapping and circuit reconstruction from genetically defined neurons in larval zebrafish.
A streamlined seven-component cell-free expression platform simplifies reaction design while maintaining high productivity and enabling robust synthesis of challenging proteins for diverse applications.
Annemiek C Veldsink, Jonas S Fischer ... Liesbeth M Veenhoff
A non-perturbative nanobody-based strategy was developed for pulse-labeling yeast nuclear pore complexes to selectively capture Nup84-containing complexes for imaging and biochemical analysis.
Alessio Paolo Buccino, Arjun Sridhar ... Joshua H Siegle
Parallelized, cloud-compatible pipelines reduce spike sorting of large-scale neural recordings from weeks to hours, and enable systematic benchmarking of algorithms on hybrid data.
Malte Muetter, Daniel C Angst ... Sebastian Bonhoeffer
Tracking luminescent reporter light intensity is a fast, easy way to quantify population decline at high concentrations and tends to be a better proxy for biomass than for cell number.
