Automated system for the detection of 2D materials using digital image processing and deep learning

The unique properties of two-dimensional materials for light emission, detection, and modulation make them ideal for integrated photonic devices. However, identifying if the films are indeed monolayers is a time-consuming process even for well-trained operators. We develop an intelligent algorithm to detect monolayers of WSe2, MoS2 and h-BN autonomously using Digital Image Processing and Deep Learning with high accuracy rate, avoiding human interaction and any additional characterization tests. We demonstrate an autonomous detection algorithm for TMDC's and h-BN monolayers with high accuracy of 99.9% with a total processing time of 9 minutes per 1cm(2). (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Automated summary

Researchers have developed an intelligent algorithm that can autonomously detect monolayers of two-dimensional materials with high accuracy using digital image processing and deep learning, avoiding human intervention and additional tests.