Imaging-PHD
Imaging-PHD
Empowering data reuse and reproducibility through microscopy-community-defined Persistent Hardware Descriptors
Microscopy Metadata
In microscopy experiments, image metadata can be subdivided as follows: (1) experimental and sample metadata; (2) microscopy metadata; and (3) analysis metadata. In turn, microscopy metadata (pink boxes) can be subdivided into two categories: (1) provenance metadata, which includes information that documents microscope hardware specifications, image acquisition settings, and image structur,e and (2) quality-control metadata, which includes metrics that quantitatively assess the performance of the microscope at the time of image acquisition and the quality of image data.
The Persistent Identification of Instruments supports FAIR principles
Scientific instruments generate the data that drives discovery — but only if we can reliably track which instrument produced what data, and where and by whom it was used. Persistent Identifiers (PIDs) give each instrument a unique, permanent label, making it possible to link instruments to samples, datasets, publications, and the facilities that support research. This improves reproducibility, enables proper credit to core facilities, and supports the FAIR data principles — making science more transparent, trustworthy, and accessible.
Imaging-PHD provides PIDs for Instruments and Hardware Descriptors
Imaging-PHD builds on the existing Micro-Meta App to provide a streamlined tool for documenting individual instruments. Each published instrument record receives a unique, permanent identifier — linking specific microscopes to their home facilities, the data they generate, and the researchers who use them. A searchable registry allows scientists to discover instruments with particular features and compare equipment across labs and institutions. By standardizing how instruments are described and identified, Imaging-PHD improves the reliability of scientific results, gives proper credit to core facility staff, and makes advanced imaging technologies more accessible to the broader research community.