The language used by microscopists who wish to find and measure objects in an image often differs in critical ways from that used by computer scientists who create tools to help them do this, making communication hard across disciplines. This work proposes a set of standardized questions that can guide analyses and shows how it can improve the future of bioimage analysis as a whole by making image analysis workflows and tools more FAIR (findable, accessible, interoperable and reusable).
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Acknowledgements
The authors thank members of the Cimini lab, A. Carpenter and U. Manor for their feedback on the completeness of the schema. This work was supported by the US National Institutes of Health (NIH P41 GM135019 to B.A.C. and K.W.E.). B.A.C. (2020-225720) and K.W.E. also acknowledge funding from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.
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B.A.C. drafted the initial schema, coded the web tool and wrote the manuscript; K.W.E. revised the schema and the manuscript.
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Nature Methods thanks Robert Haase and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Cimini, B.A., Eliceiri, K.W. The Twenty Questions of bioimage object analysis. Nat Methods 20, 976–978 (2023). https://doi.org/10.1038/s41592-023-01919-7
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DOI: https://doi.org/10.1038/s41592-023-01919-7
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