https://github.com/cwilliamokafornta/kymograph_generation_for_3d_image
This is a repo that demonstrates the generation of 2D kymograph from a 3D image (x, y and time).
https://github.com/cwilliamokafornta/kymograph_generation_for_3d_image
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Last synced: 9 months ago
·
JSON representation
Repository
This is a repo that demonstrates the generation of 2D kymograph from a 3D image (x, y and time).
Basic Info
- Host: GitHub
- Owner: cwilliamOkafornta
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: main
- Size: 97.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
https://github.com/cwilliamOkafornta/Kymograph_generation_for_3D_image/blob/main/
[](https://doi.org/10.5281/zenodo.15010690) ### **Kymograph generation for 3D image
** This is a repo that demonstrates the generation of 2D kymograph from a 3D image (x, y and time). The embedded notebook is used to compute for the generation of a kymograph from a three-dimensional image (i.e.: x, y and time). The line profile intensity of each image frame is read out using the x- and y-coordinate positions of the two ends of the line. The readout intensities over the profile line are stacked along the y-axis to display a 2D kymograph as a simplified representation of the dynamics process from the input 3D image dataset. Also, it is possible to extend the profile line beyond the initial two ends of the original x- and y-coordinates input for each frame. The profile line extension is set at 0 (i.e., there is no extension of the profile line beyond its original input.) ## `Input files`: Two input files are required to run this notebook. * 1.) 3D image (x, y and time) * 2.) a CSV file containing 4 columns with the x- and y-coordinates values of the two ends. The columns should have the following headers: | X1 | Y1 | X2 | Y2 | | :-----: | :-----: | :-----: | :-----: | | `number` | `number` | `number` | `number` | | `...` | `...` | `...` | `...` | ## `Output files`: Three files are saved in the output folder after running this notebook. * 1.) Kymograph image in .tif format. * 2.) Heatmap of the kymograph in .png format. * 3.) CSV file containing the intensity values of the kymograph. In principle, the kymograph can be reconstructed from this CSV file.
Owner
- Name: Chukwuebuka Okafornta
- Login: cwilliamOkafornta
- Kind: user
- Location: Dresden, Germany
- Twitter: Williamonia
- Repositories: 1
- Profile: https://github.com/cwilliamOkafornta
GitHub Events
Total
- Push event: 14
- Create event: 2
Last Year
- Push event: 14
- Create event: 2