Cell Image Analysis Techniques
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The IDR searcher is introduced, an open-source search engine designed to ease the exploration of datasets hosted in public bioimaging resources and has the potential to address current disparities in finding quality datasets for exploratory research and to provide the foundation for cross-resource search.
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MOTIVATION: In recent years, public image resources have emerged, but finding quality data efficiently remains a challenge, therefore limiting reuse. RESULTS: IDR searcher is an open-source search engine designed to facilitate the exploration of datasets hosted in public bioimaging resources. The application offers a fast, efficient, cost-effective solution for discovering datasets and has the potential to address current disparities in finding quality datasets for exploratory research and can be combined with metadata visualization tools to enhance usability for the scientific community. AVAILABILITY: IDR searcher is deployed using Ansible playbooks and released under the GPL v2 license. The source code associated with this manuscript is available at https://doi.org/10.5281/zenodo.20641515. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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@article{Mohamed2026searcher,
title = {IDR searcher: a search engine solution for public image resources},
author = {Khaled Mohamed and William Moore and Dominik Lindner and Josh Moore and Jason R. Swedlow and Petr Walczysko and Frances Wong and Jean‐Marie Burel},
journal = {Bioinformatics},
year = {2026},
doi = {10.1093/bioinformatics/btag486},
url = {https://doi.org/10.1093/bioinformatics/btag486}
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