Research Data Leeds Repository

Citation

Jeuken, Lars J. C. (2018) MatLab codes for Tracking Analysis and Shannon Entropy Analysis. University of Leeds. [Dataset] https://doi.org/10.5518/409

Dataset description

The code is adapted from the code the authors used to generate the data published in the associated papers. Minor improvements to condence the code have been made since the publication. The code is for fitting the time-resolved microscopy data (movies) of bacterial motility with the method detailed in the paper. The mircoscopy data (movies) is not included in this dataset due to very large size of the datasets.To run the code, you should run either the MATLAB script 'basicTrackingScript.m' or 'basedShannonEntroScript.m' to peform Tracking Analysis or Shannon Entropy analysis, respectively. Details on how to assign filenames of the movies to be analysis and how to provide additional information, such as times corresponding to relevant video frames, isi indicated with comments in the script 'basicTrackingScript.m' or 'basedShannonEntroScript.m'. A table of the MatLab Code Dependencies of the functions used in the code is included.

Keywords:	Tracking Analysis; Shannon entropy; Video tracking; Microscopy; Bacterial Motility; MatLab
Subjects:	C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C770 - Biophysical science
Divisions:	Faculty of Biological Sciences > Astbury Centre for Structural Molecular Biology Faculty of Biological Sciences > School of Biomedical Sciences
Related resources:	Location Type https://doi.org/10.1128/mBio.02490-18 Publication https://eprints.whiterose.ac.uk/139645/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	17 Dec 2018 12:27
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/471
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Jeuken, Lars J. C. https://orcid.org/0000-0001-7810-3964 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: ERC, BBSRC Grant numbers: ERC grant no. 280518, BBSRC grant BB/L020130/1 Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: L.J.C.Jeuken@leeds.ac.uk Last Modified: 03 Sep 2024 08:29

Files

Documentation

Readme File [6kB] Readme File [6kB] Readme File [6kB] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6kB

Data

Tracking Scripts [43kB] Tracking Scripts [43kB] Tracking Scripts [43kB] Security: Anyone File name: Tracking_MATLAB_files.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 43kB

Shannon Entropy Scripts [7kB] Shannon Entropy Scripts [7kB] Shannon Entropy Scripts [7kB] Security: Anyone File name: ShannonEntropy_MATLAB_files.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 7kB

Table of code dependencies [10kB] Table of code dependencies [10kB] Table of code dependencies [10kB] Security: Anyone File name: Matlab_code_dependencies.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB