Data underlying the publication: Discrete long-range on-cell motion of bacteriophage T4

doi:10.4121/0a47bd92-9b92-4564-9a75-2f83d60e646f.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/0a47bd92-9b92-4564-9a75-2f83d60e646f
Datacite citation style:
Dreesens, Lisa; Rutka, Igor; Nicolaou, Kyriacos; Aubin-Tam, Marie-Eve (2024): Data underlying the publication: Discrete long-range on-cell motion of bacteriophage T4. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0a47bd92-9b92-4564-9a75-2f83d60e646f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Interaction dynamics between phage T4 and host E. coli B revealed during single-particle tracking using fluorescence microscopy in HILO mode. Image acquisition of T4 phage trajectories was performed at a frame rate of 50 (files with date: 2018-03-13) or 200 Hz (files with date: 2018-12-04) with a pixel resolution of 80 or 161 nm, respectively. Phage trajectories were extracted from the sequences of images using the algorithm TrackMate in ImageJ (.XML files). Data can be imported in matlab (.mat file). E. coli B bacteria were immobilized at the surface of the flow cell and visualized using phage contrast microscopy. Data of phage trajectories can be overlaid with corresponding images of bacteria to study the initial phage-bacteria interaction dynamics at single-particle level. Data obtained at 2018-03-13 consist out of three individual experiments (flow cell chambers), each containing several movies of different fields of view. Data obtained at 2018-12-04 consist out of one experiment (flow cell chamber) during which several movies were collected at different fields of view. Detailed information can be found in material and methods section of the paper.

history
  • 2024-10-29 first online, published, posted
publisher
4TU.ResearchData
format
.xml, .mat, .tif
funding
  • Netherlands Organisation for Scientific Research (grant code 023.004.015) Netherlands Organisation for Scientific Research
organizations
Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology

DATA

files (67)