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Rewards-based image analysis in microscopy
Abstract Imaging and hyperspectral data analysis is central to progress across biology, medicine, chemistry, and physics. The core challenge lies in converting high-resolution or high-dimensional datasets into interpretable representations that enable insight into the underlying physical or chemical properties of a system.
Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data
Conflict of Interest The authors declare no conflict of interest Supporting Information Filename Description adma202418927-sup-0001-SuppMat.docx18.2 MB Supporting Information References 1, , , , , , , , , Nat. Mater. 2003, 2, 43. 2, , Structure analysis by small-angle X-ray and neutron scattering, Springer, Berlin, Germany 1987. 3, , , , Phys. Rev. B 1988, 38, 2297. 4, , Principles and applications of ferroelectrics and related materials, Oxford university press, Oxford, UK 2001.
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