Image Registration Platform

Welcome to the Image Registration Platform, an advanced solution for pairwise and sequential image registration tasks. This platform is based on a robust algorithm, notably improved through sequential registration, and capable of applying transformations across various channels.

Algorithm

The underlying algorithm of this platform has been published and is accessible through the following ACM link: Algorithm Publication.

Features

• Pairwise Image Registration: For pairwise registration, images are restricted to a maximum size of 300x300 pixels and should be in 8-bit format.
• Sequential Registration: When uploading a folder for sequential registration, ensure that files are sorted by name and end with "ch00", "ch01", "ch02", etc.
• Image Normalization: All images are converted to a normalized form during the registration process.

Downloads

Executable versions for both Windows (EXE) and macOS (DMG) are available for download here: Download Executables.

Source Code

The complete source code for the algorithm can be found on GitHub: Biological & Biomedical Image Registration Repository.

System Requirements

The performance of the algorithm, including time and computational complexity, is highly dependent on the specifics of the uploaded images and folders.

Minimum system requirements for a mid-level system are as follows:

• Windows:

  • OS: Windows 10, 64-bit
  • Processor: Intel Core i5 or equivalent
  • RAM: 8 GB
  • Graphics: DirectX 11 compatible video card with at least 2 GB of VRAM
  • Storage: SSD with at least 20 GB of free space
  • .NET Framework 4.8 or higher

• macOS:

  • OS: macOS Catalina or later
  • Processor: Intel Core i5 or M1 chip
  • RAM: 8 GB
  • Graphics: Metal-capable graphics card
  • Storage: SSD with at least 20 GB of free space

Note: These requirements are a baseline and actual performance will vary based on specific image processing tasks and data size.

License

This software is developed under the license of Dr. Nabavi's and Dr. Ostroff's labs. For more details on the software license, please visit the following university pages:

• Dr. Nabavi's Lab
• Dr. Ostroff's Lab

Citation

If you use this platform in your research, please cite the following paper:

@inproceedings{hamzehei20233d,
title={3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection},
author={Hamzehei, Sahand and Bai, Jun and Raimondi, Gianna and Tripp, Rebecca and Ostroff, Linnaea and Nabavi, Sheida},
booktitle={Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics},
pages={1--10},
year={2023}
}

Learn More

To learn more about the registration process and our platform, please visit our website: Ultraplex Tools.