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. Author manuscript; available in PMC: 2023 Jul 13.
Published in final edited form as: Mol Cell. 2022 Jan 20;82(2):241–247. doi: 10.1016/j.molcel.2021.12.024

Figure 1. Current image experiment to analysis pipelines have many bottlenecks that hinder making data and tools findable, accessible, interoperable, and reusable (FAIR).

Figure 1.

This illustration highlights ways in which the community can build consensus, incentives, and use cases across the imaging pipeline. Information transfer, from data generation through publication, is shown with arrows. Addressing the list of features in filled circles will enable the iterative sharing of data, resources, and tools in robust and easy-to-access repositories, which is critical to the growth of the quantitative cell imaging community and closes the loop between analysis, generation, and discovery.