Partikelanalyse Leicht Gemacht: Künstliche Intelligenz und Elektronenmikroskopie

被引：0
|
作者：
Gumbiowski, Nina [1 ]
Loza, Kateryna [1 ]
Epple, Matthias [1 ,2 ]
机构：
[1] Univ Duisburg Essen, Anorgan Chem, Univ Str 5-7, D-45117 Essen, Germany
[2] Univ Duisburg Essen, Ctr Nanointegrat Duisburg Essen CENIDE, Univ Str 5-7, D-45117 Essen, Germany
来源：
CHEMIE IN UNSERER ZEIT | 2025年 / 59卷 / 01期
关键词：
bildanalyse; elektronenmikroskopie; k & uuml; nstliche intelligenz; maschinelles lernen; nanopartikel; artificial intelligence; electron microscopy; image analysis; machine learning; nanoparticles; NANOPARTICLES; RECOGNITION; SIZE;
D O I：
10.1002/ciuz.202400012
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Large amounts of data can be processed and analyzed by methods based on Artificial Intelligence (AI). Thus, many processes in the lab can become faster and more efficient. However, one should be aware of the limits of such computer-based applications. We demonstrate how an AI-based program can first be trained with real images to be able to recognize and analyze particles on electron microscopic images on its own with high precision.
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页码：10 / 19
页数：10
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