Browse our Tools and Resources

Neuronal loss can be studied by passing electrical current through the same electrodes used for neuron measurement without disrupting recording ability.

ImmCellTyper enhances CyTOF data analysis by combining expert biological knowledge with advanced clustering tools to provide an accurate, comprehensive, and user-friendly solution for high-dimensional immune profiling.

Detecting neural oscillations in time and frequency domains enables the detailed study of spatiotemporal dynamics of oscillations throughout the brain and the investigation of biomarkers that index functional brain areas.

Tronko provides a scalable solution for accurate taxonomic assignment for large-scale metabarcoding datasets by overcoming the speed and memory limitations of previous phylogenetic placement methods.

Proximity labeling combined with mass spectrometry enables to map the proteasome proximal proteome in cells and mouse tissues.

The generation of phosphoinositide 3,4,5-trisphosphate causes an increase in the number of TRPV1 ion channels and insulin receptors in the plasma membrane.

Oscillation component analysis enables cognitive neuroscientists to summarize millisecond-precision high-dimensional neurophysiological recordings into a smaller set of oscillatory components through biophysically inspired generative modeling of neural oscillations.

A new genetically encoded sensor robustly detects exogenously applied PAC1R ligands in vitro, ex vivo, and in vivo (in zebrafishes and mice) serving as a useful resource for probing PAC1R functions.

An array tomography and electron tomography hybrid approach based on coated plastic tape as support advances ultrastructural analysis of biological phenomena that require cell- and tissue-level contextualization of the finest subcellular textures.

MotorNet is a Python toolbox for training artificial neural networks to control arbitrarily complex, differentiable, and biomechanically realistic musculo-skeletal effectors on user-defined sensorimotor tasks.