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基于人工智能的高精度菌落提取与分离系统

赵旭峰 贾志强 陈维学 胡鹏涛 苏新然 李俊霖 葛明锋 董文飞

中国光学(中英文)2026,Vol.19Issue(1):190-204,15.
中国光学(中英文)2026,Vol.19Issue(1):190-204,15.DOI:10.37188/CO.EN-2025-0025

基于人工智能的高精度菌落提取与分离系统

Artificial intelligence-enabled high-precision colony extraction and isolation system

赵旭峰 1贾志强 2陈维学 3胡鹏涛 3苏新然 3李俊霖 3葛明锋 4董文飞2

作者信息

  • 1. 中国科学院苏州生物工程技术研究所生物材料与干细胞研究室,江苏苏州 215163
  • 2. 中国科学院苏州生物工程技术研究所生物材料与干细胞研究室,江苏苏州 215163||长春理工大学机电工程学院,吉林长春 130022
  • 3. 长春理工大学机电工程学院,吉林长春 130022
  • 4. 中国科学院苏州生物工程技术研究所生物材料与干细胞研究室,江苏苏州 215163||郑州中科生物医学工程技术研究院,河南郑州 450001||济南国科医工科技发展有限公司,山东济南 250001
  • 折叠

摘要

Abstract

Standard bacterial suspensions play a crucial role in microbiological diagnosis.Traditional prepar-ation methods,which rely heavily on manual operations,face challenges such as poor reproducibility,low ef-ficiency,and biosafety concerns.In this study,we propose a high-precision automated colony extraction and separation system that combines large-field imaging and artificial intelligence(AI)to facilitate intelligent screening and localization of colonies.Firstly,a large-field imaging system was developed to capture high-resolution images of 90 mm Petri dishes,achieving a physical resolution of 13.2 μm and an imaging speed of 13 frames per second.Subsequently,AI technology was employed for the automatic recognition and localiza-tion of colonies,enabling the selection of target colonies with diameters ranging from 1.9 to 2.3 mm.Next,a three-axis motion control platform was designed,accompanied by a path planning algorithm for the efficient extraction of colonies.An electronic pipette was employed for accurate colony collection.Additionally,a bacterial suspension concentration measurement module was developed,incorporating a 650 nm laser diode as the light source,achieving a measurement accuracy of 0.01 McFarland concentration(MCF).Finally,the system's performance was validated through the preparation of an Esckerichia coli(E.coli)suspension.After 17 hours of cultivation,E.coli was extracted four times,achieving the target concentration set by the system.This work is expected to enable rapid and accurate microbial sample preparation,significantly reducing de-tection cycles and alleviating the workload of healthcare personnel.

关键词

人工智能/菌落提取与分离/大视场成像/自动化

Key words

artificial intelligence/colony extraction and isolation/large-field imaging/automation

分类

医药卫生

引用本文复制引用

赵旭峰,贾志强,陈维学,胡鹏涛,苏新然,李俊霖,葛明锋,董文飞..基于人工智能的高精度菌落提取与分离系统[J].中国光学(中英文),2026,19(1):190-204,15.

基金项目

国家重点研发项目(No.2022YFC2406200) (No.2022YFC2406200)

中国科学院科研仪器设备研制项目(No.YJKYYQ20200038) (No.YJKYYQ20200038)

中国科学院重点部署项目(No.YJKYYQ20210032)Supported by National Key R&D Program of China(No.2022YFC2406200) (No.YJKYYQ20210032)

Scientific Instrument and Equip-ment Development Projects of Chinese Academy of Sciences(No.YJKYYQ20200038) (No.YJKYYQ20200038)

Key Deployment Project of Chinese Academy of Sciences(No.YJKYYQ20210032) (No.YJKYYQ20210032)

中国光学(中英文)

2095-1531

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