µCodes: A Universal Grid Platform for Microscale Mapping, Microscopy Navigation, and Multimodal Imaging
Different imaging modalities provide unique and valuable insights into biological sample characterizations. Integration of multimodal imaging techniques is essential for comprehensive biological sample analysis. µCodes, a microgrid system designed to enhance sample navigation, alignment, and co-registration of images obtained from various optical and electron microscopy techniques, is presented. µCodes is a platform for tracking and locating targets or cells of interest across different imaging modalities with high precision. In this paper, the design, fabrication, and implementation of µCodes are demonstrated, emphasizing their utility in imaging workflows for biological samples.
Authors
- Stephen Nick Housley (ORCID: https://orcid.org/0000-0002-7046-9109)
- Aref Valipour (ORCID: https://orcid.org/0000-0003-0648-8863)
- Jae Du Ha
Institutions
- Georgia Institute of Technology (US)
- Emory University (US)
Publication Details
- Journal
- Small
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1002/smll.202506183
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00