Published January 18, 2023
| Version v1
Dataset
Open
Dataset for publication: ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks
Authors/Creators
- 1. Department for Microbiology, Immunology and Infection; Université de Montréal
- 2. Institut Pasteur, Image Analysis Hub
Description
Dataset related to article
Simon, F., J.-Y. Tinevez, S. van Teeffelen (2023) ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks. Journal of Cell Biology
Movies: example movies for PBP1b and RodZ. G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level.
Tracks: resulting tracks from the replicates, each replicate is composed of several movies (one xml file per movie). G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level.
See the material and method section for more details on the experimental conditions and the analysis pipeline.
Notes
Additional funding: Mairie de Paris "Emergence(s)" program to SVT, a NSERC Discovery Grant to SVT, a FRQS Salary Fellowship to SVT, as well as support from the Volkswagen Foundation to SVT.
Files
DATA.zip
Additional details
Funding
- European Commission
- RCSB - Regulation of cell size and shape in bacteria 679980
- Agence Nationale de la Recherche
- IBEID - Integrative Biology of Emerging Infectious Diseases ANR-10-LABX-0062
- Agence Nationale de la Recherche
- France-BioImaging - Développment d'une infrastructure française distribuée coordonnée ANR-10-INBS-0004