Skip to main content

A software tool for graph theory analysis of microscopy images.

Project description

StructuralGT

A software tool that allows graph theory analysis of nanostructures. This is a modified version of StructuralGT initially proposed by Drew A. Vecchio, DOI: 10.1021/acsnano.1c04711.

Installation

1. Install as software

2. Install via source code

Therefore, please follow the manual installation instructions provided below:

  • Install Python version 3.13 on your computer.
  • Git Clone the branch DicksonOwuor-GUI from this repo: https://github.com/compass-stc/StructuralGT.git
  • Extract the source code folder named 'structural-gt' and save it to your preferred location on your PC.
  • Open a terminal application such as CMD.
  • Navigate to the location where you saved the 'structural-gt' folder using the terminal.
  • Execute the following commands:
cd structural-gt
pip install --upgrade pip
pip install -r requirements.txt
pip install .

2(a) Executing GUI App

To run the GUI version, please follow these steps:

  • Open a terminal application such as CMD.
  • Execute the following command:
StructuralGT

2(b) Executing Terminal App

Before executing StructuralGT-cli, you need to specify these parameters:

  • image file path or image directory/folder: [required and mutually exclusive] you can set the file path using -f path-to-image or set the directory path using -d path-to-folder. If the directory path is set, StructuralGT will compute the GT metrics of all the images simultaneously,
  • configuration file path: [required] you can set the path to config the file using -c path-to-config. To make it easy, find the file sgt_configs.ini (in the ''root folder'') and modify it to capture your GT parameters,
  • type of GT task: [required] you can either 'extract graph' using -t 1 or compute GT metrics using -t 2,
  • output directory: [optional] you can set the folder where the GT results will be stored using -o path-to-folder,
  • allow auto-scaling : [optional] allows StructuralGT to automatically scale images to an optimal size for computation. You can disable this using -s 0.

Please follow these steps to execute:

  • Open a terminal application such as CMD.
  • Execute the following command:
StructuralGT-cli -d datasets/ -c datasets/sgt_configs.ini -o results/ -t 2

OR

StructuralGT-cli -f datasets/InVitroBioFilm.png -c datasets/sgt_configs.ini -t 2

OR

StructuralGT-cli -f datasets/InVitroBioFilm.png -c datasets/sgt_configs.ini -t 1

References

  • Drew A. Vecchio, Samuel H. Mahler, Mark D. Hammig, and Nicholas A. Kotov ACS Nano 2021 15 (8), 12847-12859. DOI: 10.1021/acsnano.1c04711.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sgtlib-3.4.1.tar.gz (212.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sgtlib-3.4.1-py3-none-any.whl (219.9 kB view details)

Uploaded Python 3

File details

Details for the file sgtlib-3.4.1.tar.gz.

File metadata

  • Download URL: sgtlib-3.4.1.tar.gz
  • Upload date:
  • Size: 212.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for sgtlib-3.4.1.tar.gz
Algorithm Hash digest
SHA256 8476c40ede1ce31cdcdeb1382734f9dcfcb440130911f29306d80b67aa0dea51
MD5 b7cdccd0cb734c1aeefbee4648664fea
BLAKE2b-256 ca4d09d573c7c1b7b1130efcedfb9f40664d8207e58836324b5e11c26bc4e6b9

See more details on using hashes here.

File details

Details for the file sgtlib-3.4.1-py3-none-any.whl.

File metadata

  • Download URL: sgtlib-3.4.1-py3-none-any.whl
  • Upload date:
  • Size: 219.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for sgtlib-3.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 931bc3a4d28fb30b0709f513b5a3771a92f9d651eb90e51f5f177223f53e923c
MD5 166760b3d1d63af788ff3f64f685cfee
BLAKE2b-256 772027c5d78bd5699e15aa2391149ed8f187d7a11060bc8f417482cfb4acb9e8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page