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Timelapse imaging with IDS monochrome cameras using Python and the IDS peak SDK. Supports automated image capture every 15 minutes for 72 hours with auto-exposure, local image saving, and pause/resume control. Ready for integration with live cell segmentation tools like Cellpose.

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arka2696/IDS-Bioreactor-LIVR

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IDS Camera Timelapse + Live Segmentation

This project enables long-duration timelapse imaging (72 hours) using a monochrome IDS camera with auto-exposure, image saving, and pause/resume support.

Features

  • Capture 1 image every 15 minutes for 72 hours
  • Auto-exposure with IDS peak API
  • Saves images with timestamped filenames
  • Pause/resume using flag files
  • Ready for integration with Cellpose for live segmentation

Setup Instructions for IDS Timelapse Imaging

Hardware Requirements

  • IDS uEye+ monochrome camera (e.g., UI-3060CP-M-GL Rev.2 or similar)
  • USB 3.0 port with proper power
  • Computer with Python ≥ 3.8

Software Requirements

1. IDS peak SDK (Camera Driver)

2. Python Environment

We recommend using a virtual environment:

python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows
pip install -r requirements.txt
pip install notebook

It is also suggested to make a custom jupyter kernel for the environment, which might be useful at some point

License

MIT

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Timelapse imaging with IDS monochrome cameras using Python and the IDS peak SDK. Supports automated image capture every 15 minutes for 72 hours with auto-exposure, local image saving, and pause/resume control. Ready for integration with live cell segmentation tools like Cellpose.

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