All NWB conversions

Andrew Leifer

Princeton University

Project started March 2024

Developed NWB conversion tools for the Leifer lab's C. elegans neural imaging datasets. The conversion pipeline handles complex whole-brain calcium imaging data combined with optogenetic stimulation, supporting systematic mapping of neural signal propagation across thousands of neuron pairs in the worm nervous system.

Data and methods
C. eleganscalcium imagingbehavioral tracking
Conversion code
leifer_lab_to_nwb
Published datasets
Funded under
SCPAB NWB Adoption
Related work

Thomas Clandinin

Stanford University

Developed NWB conversion tools for the Clandinin lab's whole-brain imaging data in Drosophila, featuring volumetric two-photon calcium imaging during locomotion. The conversion pipeline includes specialized interfaces for handling complex imaging data formats including NiFTI files, with support for brain-wide neural activity mapping during behavioral tasks.

Bradley Dickerson

Princeton University

Developed NWB conversion tools for the Dickerson lab's research on Drosophila sensory processing. The pipeline standardizes two-photon imaging data from ThorLabs microscopes, neck muscle imaging, and high-speed video recordings. These tools integrate synchronization data from ThorSync to align neural and behavioral measurements, facilitating comprehensive analysis of sensory-motor transformations.

Carlos Brody

Princeton University

Developed NWB conversion tools for the Brody lab's neurophysiology datasets focused on decision-making and neural circuits. The project includes custom processing pipelines and utility code for converting experimental data to the standardized NWB format, with specialized Python-based conversion tools.

David Tank

Princeton University

Developed comprehensive NWB conversion tools for the Tank lab's behavioral and electrophysiology datasets. Created a custom NWB extension (ndx-tank-metadata) for storing experiment-specific metadata including maze configurations and rig parameters. The conversion pipeline integrates Neuropixels recordings with VirMen behavioral data, including detailed trial structure, behavioral metrics, and synchronized TTL events. The tools support extensive metadata handling and include specialized visualization widgets for behavioral analysis.