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Welcome to MIST - the National Institute of Standards and Technology's Microscopy Image Stitching application, developed by the Information Technology Laboratory-Software and Systems Division at NIST Gaithersburg.
This work concerns a stitching algorithm for small and large two dimensional image grid collections. We developed a novel method for optimizing the translations computed by the phase-correlation image alignment method. This new method estimates the microscope stage repeatability from the computed translations of a grid of image tiles. It then optimizes all translation computation using a hill climbing algorithm constrained to a square search area of 4*stage repeatability. This minimizes the maximum uncertainty related to the translation computation for any pair of images.
The software contains a scalable hybrid CPU-GPU implementation that processes image sets at near interactive rates. The implementation scales well with both image size and the number of CPU cores and GPU cards in a machine. To enable hybrid execution you must install the CUDA toolkit and have CUDA-enabled NVIDIA GPU card(s). See Installation Guide for detailed instructions.