J3SPM AI:一个集成的开源平台,用于人工智能辅助的图像分析和扫描探针显微镜中的图像引导工作流程
1School of Electronic-Mechanical Engineering, Robotics Engineering Major, Gyeongkuk National University, Gyungdongro 1375, Andong, Gyeongbuk 36729, Republic of Korea.
概括
J3SPM人工智能 (AI) 通过将AI工具集成到一个用户友好的平台,简化了扫描探针显微镜 (SPM) 分析. 这提高了图像质量和纳米级材料表征的吞吐量.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术 纳米技术
- 数据科学数据科学数据科学
背景情况:
- 扫描探针显微镜 (SPM),特别是原子力显微镜 (AFM),对于纳米级材料的表征至关重要.
- 现有的SPM方法面临图像质量和吞吐量方面的挑战,限制了实际应用.
- 自动化方面的进步还没有完全解决这些持续存在的问题.
研究的目的:
- 开发一个可访问的平台,将人工智能 (AI) 集成到 SPM 工作流中.
- 克服在SPM分析中的图像质量和吞吐量方面的局限性.
- 在SPM实验中实现人工智能辅助决策.
主要方法:
- 开发J3SPM AI,一个开源的图形用户界面 (GUI) 平台.
- 整合人工智能工具用于图像预处理,数据集构建,模型训练和推理.
- 实施人工智能用于对象检测和兴趣区域识别,以指导数据采集.
主要成果:
- J3SPM AI为人工智能辅助的SPM分析提供了一个统一的环境,消除了用户构建机器学习管道的需求.
- 该平台支持基于图像的对象检测和区域识别,用于有针对性的重新扫描和数据采集.
- 成功降低了将AI纳入SPM的技术障碍.
结论:
- J3SPM AI提供了一个实用的框架,可以通过人工智能驱动的见解来增强SPM实验.
- 该平台促进了人工智能辅助的决策,提高了纳米分析中的效率和数据质量.
- 授权研究人员在没有广泛的机器学习专业知识的情况下,利用人工智能用于先进的SPM应用程序.
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