Deep-learning-based image segmentation integrated with optical | ResearchBunny

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Abstract

This paper presents a deep-learning-based image segmentation algorithm integrated with an autonomous robotic system for the automated search and cataloging of two-dimensional (2D) materials. A Mask-RCNN neural network, trained on annotated optical microscope images of various 2D materials, enables real-time detection with robustness against variations in microscopy conditions. The system's integration with a motorized optical microscope facilitates high-throughput searching and contributes to efficient 2D material research.

Publisher

npj 2D Materials and Applications

Published On

Mar 23, 2020

Authors

Satoru Masubuchi, Eisuke Watanabe, Yuta Seo, Shota Okazaki, Takao Sasagawa, Kenji Watanabe, Takashi Taniguchi, Tomoki Machida

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