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To improve the speed and accuracy of image correlation, image processing algorithms are developed in this work to automatically establish correspondence between images acquired by different microscopy techniques. Correlative imaging is a challenging multimodal and multiscale image registration problem. The conventional microscopy image correlation techniques require the physical addition of fiducial marks to the sample as landmarks. These landmarks can be easily identified in images captured under different modes of microscopy (e.g., SEM and fluorescence).
(Gong., 2014) Fluorescence and SEM correlative microscopy for nanomanipulation of subcellular structures. Light Science and applications.