Browse our Tools and Resources

Sophisticated decision-making mechanisms and complex experimental paradigms can be modeled, simulated, and fit to empirical response time data, using a flexible and efficient computational modeling framework.

Simple guidelines and a checklist are provided for performing high-quality equilibrium binding measurements.

Convolutional neural networks and graph partitioning algorithms can be combined into an easy-to-use tool for segmentation of cells in dense plant tissue volumes imaged with light microscopy.

The stdpopsim library, a community-driven open source project, is presented which provides easy access to a standard catalog of published simulation models for population genetics aimed at field-wide standardization.

Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.

Advances in quantitative phase and polarized light microscopy, combined with deep learning, reveal the architecture of human brain tissue.

A systematic survey of the epididymis identifies the cell types involved in post-testicular maturation of sperm.

Inter-individual human brain alignment that uses macro-anatomical priors in addition to cortical curvature improves micro-anatomical correspondence between auditory areas.

Farrerol promotes the efficiency of CRISPR/Cas9-mediated genome editing in both cells and embryos.

P2ry12-CreER robustly and specifically labels microglia in fate-mapping and ribosomal profiling experiments, revealing new markers for myeloid subpopulations in the central nervous system.