LEO: An Open-Source Platform for Linking OMERO with Lab Notebooks and Heterogeneous Metadata Sources

2025-08-01

AI Summary

In microscopic imaging research, heterogeneous multimodal data—including biological images, experimental records, and spectral measurements—are fragmented across disparate systems such as OMERO and electronic lab notebooks (ELNs), lacking a unified management framework and severely impeding compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable). To address this, we propose a plugin-based web platform architecture that enables bidirectional semantic linking between OMERO, ELNs, and other metadata repositories, along with unified cross-platform management of scientific data objects. The architecture supports loosely coupled integration of diverse data sources, ensuring high extensibility and interoperability. Experimental evaluation demonstrates significant improvements in the efficiency of multimodal research data integration. To our knowledge, this is the first open-source, scalable, and FAIR-ready data interoperability infrastructure specifically designed for microscopy.

Technology Category

• Computer Vision: Multi-modal Vision
• Data Mining & Knowledge Management: Mining of Visual, Multimedia & Multimodal Data
• Machine Learning: Multimodal Learning

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Security and Privacy: Data transparency and provenance
• Web Mining and Content Analysis: Web data integration and cleaning

Abstract

In the interdisciplinary field of microscopy research, managing and integrating large volumes of data stored across disparate platforms remains a major challenge. Data types such as bioimages, experimental records, and spectral information are often maintained in separate repositories, each following different management standards. However, linking these data sources across the research lifecycle is essential to align with the FAIR principles of data management: Findability, Accessibility, Interoperability, and Reusability. Despite this need, there is a notable lack of tools capable of effectively integrating and linking data from heterogeneous sources. To address this gap, we present LEO (Linking Electronic Lab Notebooks with OMERO), a web-based platform designed to create and manage links between distributed data systems. LEO was initially developed to link objects between Electronic Lab Notebooks (ELNs) and OMERO, but its functionality has since been extended through a plugin-based architecture, allowing the integration of additional data sources. This extensibility makes LEO a scalable and flexible solution for a wide range of microscopy research workflows.

Problem

• Integrating bioimages and metadata from disparate platforms
• Linking heterogeneous data sources for FAIR compliance
• Lack of tools for scalable microscopy data integration

Innovation

• Web-based platform linking ELNs and OMERO
• Plugin-based architecture for extensibility
• Integrates heterogeneous microscopy data sources