强度(物理)
RGB颜色模型
光学
材料科学
图层(电子)
对比度(视觉)
计算机科学
光强度
光学显微镜
人工智能
光电子学
纳米技术
物理
扫描电子显微镜
作者
Mainak Mondal,Ajit Kumar Dash,Akshay Singh
出处
期刊:ACS Nano
[American Chemical Society]
日期:2022-09-08
卷期号:16 (9): 14456-14462
被引量:13
标识
DOI:10.1021/acsnano.2c04833
摘要
Optical contrast is the most common preliminary method to identify layer number of two-dimensional (2D) materials, but it is seldom used as a confirmatory technique. We explain the reason for variation of optical contrast between imaging systems, motivating system-independent measurement of optical contrast as a critical need. We describe a universal method to quantify the layer number using the RGB (red-green-blue) and RAW optical images. For RGB images, the slope of 2D flake (MoS2, WSe2, graphene) intensity vs substrate intensity is extracted from optical images with varying lamp power. The intensity slope identifies layer number and is system independent. For RAW images, intensity slopes and intensity ratios are completely system and intensity independent. Intensity slope (for RGB) and intensity ratio (for RAW) are thus universal parameters for identifying layer number. The RAW format is not present in all imaging systems, but it can confirm layer number using a single optical image, making it a rapid and system-independent universal method. A Fresnel-reflectance-based optical model provides an excellent match with experiments. Furthermore, we have created a MATLAB-based graphical user interface that can identify layer number rapidly. This technique is expected to accelerate the preparation of heterostructures and to fulfill a prolonged need for universal optical contrast method.
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