µCodes: A Universal Grid Platform for Microscale Mapping, Microscopy Navigation, and Multimodal Imaging

µCodes:用于微尺度映射、显微导航和多模态成像的通用网格平台

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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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