Deep-learning recognition and tracking of individual nanotubes in low-contrast microscopy videos
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This study addresses the challenge of analyzing the growth kinetics of carbon nanotubes using in situ homodyne polarization microscopy (HPM) by developing an automated deep learning (DL) approach. A Mask-RCNN architecture, enhanced with a ResNet-FPN backbone, ... ...
