国产热热热精品,亚洲视频久久】日韩,三级婷婷在线久久,99人妻精品视频,精品九热人人肉肉在线,AV东京热一区二区,91po在线视频观看,久久激情宗合,青青草黄色手机视频

Global EditionASIA 中文雙語Fran?ais
China
Home / China / Innovation

Dalian scientists develop world's first AI-driven microscope

By Zhang Xiaomin in Dalian, Liaoning | chinadaily.com.cn | Updated: 2026-05-25 21:16
Share
Share - WeChat
Chinese researchers have developed the world's first artificial intelligence-driven transmission electron microscope system, named "Aeye-1". [Photo provided to chinadaily.com.cn]

Chinese researchers have developed the world's first artificial intelligence-driven transmission electron microscope (AI-TEM) system, named "Aeye-1", marking a leap from manual operation to AI-driven fully autonomous operation.

"Like a 'smart eye' visualizing the atomic world, the system enables fully unmanned, AI operation across the entire workflow of 'sample transfer–imaging–analysis'," Deng Dehui, a professor at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, said.

The AI-TEM system, developed by the team led by Deng and Professor Liu Wei at the DICP, passed a scientific and technological achievement evaluation on Sunday in Beijing organized by the China Petroleum and Chemical Industry Federation.

The evaluation committee unanimously concluded that the technology is highly innovative and the AI-TEM system the first of its kind in the world and is internationally leading.

"Its image analysis efficiency is more than 300 times higher than manual processing," Deng said. "The data obtained from two weeks of operation of 'Aeye-1' is equivalent to one year's workload for a conventional TEM."

In practical applications of microscopy imaging of molecular sieves catalyst, "Aeye-1" can analyze 168 samples per day on average and acquire more than 4,000 images, while automatically generating professional analytical reports containing comprehensive microstructural information with large-scale quantitative statistics.

According to Deng, it is expected to continuously deliver large-scale, high-quality structural data in the fields of energy and chemical engineering, advanced materials, and life sciences, supporting an AI-driven transformation of the scientific research paradigm and enabling humanity to explore the ultra-microscopic world with greater precision and clarity.

Top
BACK TO THE TOP
English
Copyright 1994 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
 
米脂县| 姜堰市| 五大连池市| 安国市| 台南县| 攀枝花市| 远安县| 天台县| 长岭县| 会宁县| 雷山县| 辉县市| 深水埗区| 刚察县| 临泉县| 阿巴嘎旗| 绥德县| 怀宁县| 河间市| 河南省| 镇原县| 凉城县| 巴东县| 贡嘎县| 宝清县| 淳化县| 乌拉特后旗| 韶关市| 武定县| 安图县| 黎川县| 陆丰市| 渭源县| 乌恰县| 家居| 榆树市| 成武县| 綦江县| 攀枝花市| 台湾省| 台北市|