Publishing research data in alignment with Findable, Accessible, Interoperable, and Reusable (FAIR) principles is becoming a key requirement of many labs, especially for securing funding. Adopting FAIR principles not only improves data reuse and reproducibility, but also ensures that microscopy data can be efficiently found and utilized, elevating the overall field of electron microscopy.
With our AXON machine vision software, we provide an open, non-proprietary platform that enables robust analysis, data mining, and peer review of in situ experiments by researchers worldwide, meeting the primary requirements of the FAIR principles.
How Does It Work?
AXON collects, records, and indexes all metadata associated with your experiments, creating unprecedented transparency:
- Effortless Data Organization: Indexed metadata allows you to filter, find, and access key parts of your dataset with ease.
- Simplified Sharing and Reuse: Share metadata and experiment details alongside publications to promote reuse and reproducibility.
- Future-Proofing Your Work: Quickly locate past data for follow-up studies or collaborative projects.
By enabling FAIR principles, AXON makes your research more impactful, accessible, and future-ready.
