Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning...

Area of Science:

• Microscopy and Image Analysis
• Computational Biology
• Biotechnology

Background:

• Deep biological sample analysis often requires multi-modal, multi-time point, or multi-staining imaging.
• Image alignment (registration) is crucial for co-localization analysis, enabling the fusion of complementary signals to understand biological processes.
• Existing image registration methods lack universal applicability and user-friendly solutions, particularly for non-expert users.

Purpose of the Study:

• To introduce DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning 2D microscopy images.
• To provide an extremely easy-to-use solution for aligning multi-modality, immunohistochemistry (IHC), and immunofluorescence (IF) images.
• To offer a comprehensive resource including source code, standalone applications, tutorials, documentation, and sample datasets.

Main Methods:

• Development of DS4H Image Alignment (DS4H-IA) as an ImageJ/Fiji plugin.
• Implementation of an intuitive user interface for simplified image alignment.
• Revision and comparison of existing 2D microscopy image alignment solutions.

Main Results:

• DS4H-IA enables the alignment of multi-modal, IHC, and IF 2D microscopy images.
• The plugin is designed for ease of use, requiring no specialized computer skills.
• Open-source availability of DS4H-IA with cross-platform applications (MAC, Linux, Windows) and extensive support materials.

Conclusions:

• DS4H Image Alignment (DS4H-IA) addresses the need for accessible and effective multi-modal image registration in biological research.
• The plugin democratizes advanced image analysis techniques, facilitating co-localization studies.
• Publicly available resources enhance the adoption and utility of DS4H-IA in diverse research settings.