Generalizable Framework for Algorithmic Interpretation of Thin Film Morphologies in Scanning Probe Images
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DOI: 10.1021/acs.jcim.0c00308
Abstract: We describe an open-source and widely adaptable Python library that recognizes morphological features and domains in images collected via scanning probe microscopy. π-Conjugated polymers (CPs) are ideal for evaluating the Materials Morphology Python (m2py) library,… read more here.
Keywords: algorithmic interpretation; generalizable framework; probe; scanning probe ... See more keywords