Automated Analysis Tools for Microscopy Data

Features

• Image preprocessing including noise reduction, background correction, and image registration.
• Automated cell segmentation using techniques such as thresholding and watershed.
• Interactive data visualization for exploring and analyzing microscopy images.
• Integration with computational neuroanatomy tools from the BrainGlobe initiative.
• Detailed documentation and tutorials for using the software effectively.
• Optimized performance for processing large microscopy datasets.
• Collaborative support and guidance for researchers using the tools.

Getting Started

Prerequisites

• Python 3.9.7
• Required libraries listed in requirements.txt.

Installation

1. Clone this repository: https://github.com/your-username/microscopy_software_tools.git cd microscopy_tools

2. Install dependencies: pip install -r requirements.txt

Usage

1. Follow the tutorials in the docs folder to learn how to use the software for preprocessing, segmentation, and visualization.

2. Collaborate with researchers to understand their microscopy data and apply the appropriate tools.

3. Provide feedback and contribute to the software's improvement by submitting issues or pull requests.

Documentation

Detailed documentation, including usage guides and tutorials, can be found in the docs folder of this repository.