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hitips

HiTIPS: High-Throughput Image Processing Software for FISH data analysis

  • 1.0.12
  • PyPI
  • Socket score

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HiTIPS

HiTIPS (High-Throughput Image Processing Software) is a comprehensive tool crafted for the analysis of high-throughput imaging datasets. Specifically designed for FISH (Fluorescence In Situ Hybridization) data, HiTIPS incorporates cutting-edge image processing and machine learning algorithms, delivering automated solutions for cell and nucleus segmentation, FISH signal identification, and quantification of signal attributes.

🌟 Key Features

  • 🔍 Automated Segmentation: Efficiently segments cells and nuclei.
  • 📍 FISH Signal Identification: Accurate localization and identification of FISH signals.
  • 📊 Quantitative Analysis: Measures signal intensity and distribution.
  • 🎨 Customizable Interface: Provides flexibility for customization and integrating plugins.
  • 🚀 High-Throughput Support: Designed for processing large-scale imaging datasets.
  • ⚙️ Extendable Algorithms: Incorporates new methodologies for enhancing current analysis routines.
  • 🧩 Plugin Support: Supports the creation and integration of new analysis routines.

🔧 Hardware and Software Prerequisites

Hardware Requirements:

  • CPU: Multi-core processor (e.g., Intel i7 or AMD Ryzen 7).
  • RAM: Minimum 16GB (32GB recommended for large datasets).
  • Storage: SSD with 500GB or more of available space.
  • GPU: Optional but recommended, especially if using CUDA-enhanced functionalities.

Software Requirements:

  • Operating System: 64-bit Linux distribution (e.g., Ubuntu, CentOS, Fedora).
  • Python: Version 3.7 or newer.
  • Package Manager: Latest version of Miniconda or Anaconda.

📥 Installation

Using Conda and Pip

  1. Create a Conda Environment:
    conda create --name hitips_env python=3.8
    conda activate hitips_env
    
    
  2. Install HiTIPS:
    pip install hitips
    
    
  3. Launch HiTIPS:
    hitips
    

🚀 Usage

  • Launch HiTIPS using the command python -m hitips.
  • Introduce your high-throughput imaging dataset into the software.
  • Navigate through the available analysis options and specify your desired tasks.
  • Modify the analysis parameters fitting your requirements.
  • Initiate the analysis process.
  • Review and interpret the produced outcomes.
  • Save or export the results as required.

🤝 Contributing

We warmly welcome contributions to HiTIPS! If you're keen on contributing, please adhere to the following guidelines:

  • Fork and Branch: git checkout -b feature/your-feature-name
  • Ensure that your changes align with the project's coding standards.
  • Validate your modifications with appropriate tests.
  • Commit your changes, ensuring your commit messages are descriptive.
  • Push your updates to your fork.
  • Submit a pull request on the primary HiTIPS repository detailing your changes.

📜 License

HiTIPS is distributed under the MIT License.

📞 Contact

For inquiries, feedback, or support, please don't hesitate to contact us at adib.keikhosravi@nih.gov.

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