The changing landscape of training in microscopy facilities: Reflections on seven decades of research user support at the University of Sydney
This thematic contribution highlights the critical role of established professional training regimes in microscopy and microanalysis in supporting high-quality research. As microscopy technologies continue to evolve in complexity, the risk of mishandling and data misinterpretation by inexperienced researchers increases significantly. To address this challenge, the authors underscore the importance of expert training and ongoing support provided by platform scientists-specialist microscopists embedded within centralised research infrastructure facilities. These experts play a vital role in equipping researchers with the necessary skills to use advanced instruments effectively and interpret data accurately. Collaboration between platform scientists and researchers is not only beneficial but essential for maximising the capabilities of modern microscopy. By fostering such partnerships and investing in structured training solutions, institutions can ensure that scientific discoveries are grounded in reliable, high-quality imaging data, advancing the broader goals of research excellence. At the microscopy core facility in Sydney, we have found that no single training method can fully substitute the comprehensive researcher experience required to become an expert microscopy scientist. Therefore, we suggest that a hybrid approach-combining multiple training tools with regular researcher check-ins throughout the research project lifecycle-is the most effective solution.
Authors
- Filip Braet (ORCID: https://orcid.org/0000-0002-5222-0895)
- Vijay Bhatia
- Eleanor Kable
- Matthew Foley (ORCID: https://orcid.org/0000-0003-4077-445X)
Institutions
- The University of Sydney (AU)
- UNSW Sydney (AU)
Publication Details
- Journal
- Journal of Microscopy
- Published
- 2026-05-28
- DOI
- https://doi.org/10.1111/jmi.70121
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00