Skip to main content

GUI + pipeline for gel well detection, ladder reading, and PCR band annotation.

Project description

Gel Annotate

Gel Annotate is a Python package + GUI tool for automated detection and annotation of gel electrophoresis wells, ladders, and PCR bands.
It was developed for lab workflows to speed up gel image analysis and make the results reproducible and easy to share.


Features

  • Automatic detection of sample wells and ladder wells from gel images (TIFF, PNG, JPG, etc.).
  • PCR band detection with adjustable thresholds.
  • Interactive PyQt5 GUI:
    • View annotated gels with labeled wells/bands.
    • Edit probable wells manually by typing coordinates.
    • Save and reload results (.json).
    • Export results to CSV or JSON.
    • Save annotated PNGs for reports.
  • Command-line interface for batch processing.
  • Cross-platform (Windows, Linux, macOS).
  • Optional desktop/start menu shortcuts for quick access.

Installation

You can install from PyPI:

pip install aer-gel-annotate

On Windows (to allow shortcut creation), install with:

pip install aer-gel-annotate[windows]

Usage

Run the GUI

After installation:

gel-annotate

This opens the GUI application.

Run the CLI

For quick batch analysis:

gel-annotate-cli path/to/gel_image.tif --ladder --detect_bars

GUI Overview

  • Top row:

    • Select an image file.
    • Set detection parameters (comb size, combs per row, ladder/band detection).
    • Run detection.
  • Left sidebar:

    • Manual overrides (force YES/NO for PCR bands).
    • Detected wells and ladder wells (read-only).
    • Probable wells (editable — add/modify coordinates).
    • Save/export options (PNG, CSV, JSON).
    • Load JSON results.
  • Main area:

    • Annotated gel image with labeled wells and bands.

Export & Reload Results

  • CSV: table of wells, ladder wells, bands.
  • JSON: full structured result (including probable wells, ladder bands, etc.).

You can later reload a JSON file into the GUI, edit probable wells, and re-run detection.


Application Shortcuts

  • To create a desktop/start menu shortcut (after installation):
gel-annotate-shortcut
  • On Linux, this creates a .desktop entry under ~/.local/share/applications and your Desktop.
  • On Windows, it creates Gel Annotate.lnk on Desktop and in the Start Menu.
  • On macOS, it creates a Gel Annotate.command launcher on the Desktop.

️ Development

Clone the repository and install in editable mode:

git clone https://github.com/your-org/aer-gel-annotate
cd aer-gel-annotate
pip install -e .[windows]  # add [windows] on Windows

Run the GUI locally:

python -m annotation.gui.gel_gui_wrapper

License

MIT License © 2025 Manan Shah

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

aer_gel_annotate-0.1.4.tar.gz (268.0 kB view details)

Uploaded Source

Built Distribution

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

aer_gel_annotate-0.1.4-py3-none-any.whl (270.0 kB view details)

Uploaded Python 3

File details

Details for the file aer_gel_annotate-0.1.4.tar.gz.

File metadata

  • Download URL: aer_gel_annotate-0.1.4.tar.gz
  • Upload date:
  • Size: 268.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.8

File hashes

Hashes for aer_gel_annotate-0.1.4.tar.gz
Algorithm Hash digest
SHA256 d6d7266f4dff1786b81733944af9d732575117fad1811fc530aa056c2588bf1c
MD5 8f1deb405e45e8ad4da3945726aaa6cd
BLAKE2b-256 487771dd1e1092531ccb9f6b313075f52084e120b46aa8cc7042d8026132154f

See more details on using hashes here.

File details

Details for the file aer_gel_annotate-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for aer_gel_annotate-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 1859f3c1b3db623da0816816298fc2fa2de251310828e9621f4ee0c0d1490f40
MD5 57de58455bb7f19d5b04f8dac2cbce2d
BLAKE2b-256 a34a111fadc150ca2d92541feba0f3506f5f354b375692e6299e0d26a85e630c

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