µCodes: A Universal Grid Platform for Microscale Mapping, Microscopy Navigation, and Multimodal Imaging
Source abstract
Abstract
Abstract 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.
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Research context
OpenAlex topics: Cell Image Analysis Techniques · Single-cell and spatial transcriptomics · Advanced Fluorescence Microscopy Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Biological Sciences Georgia Institute of Technology Atlanta GA 30332 USA
School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 USA
Scheller College of Business Georgia Institute of Technology Atlanta GA 30332 USA
George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GA 30332 USA
Institute for Bioengineering and Biosciences Georgia Institute of Technology Atlanta GA 30332 USA
Winship Cancer Institute Emory University Atlanta GA 30322 USA
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