基于机器视觉的高通量微生物克隆挑选工作站研制及应用

张建康; 王文君; 郭洪菊; 白北辰; 张亚飞; 袁征; 李彦辉; 李航

doi:10.12211/2096-8280.2025-038

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基于机器视觉的高通量微生物克隆挑选工作站研制及应用

研究论文 | 更新时间：2025-09-05

- 基于机器视觉的高通量微生物克隆挑选工作站研制及应用
- Development and application of a high-throughput microbial clone picking workstation based on machine vision
- 合成生物学 2025年6卷第4期页码：956-971
- 作者机构：
  
  1.生物芯片北京国家工程研究中心，北京 102206
  2.博奥生物集团有限公司，北京 102206
- 作者简介：
  
  [ "张建康（1986—），男，高级工程师。研究方向为实验室自动化系统开发、机器人技术应用、智能装备研发。 E-mail：jiankangzhang@capitalbio.com" ]
  [ "李航（1971—），男，技术负责人，工程师。研究方向为工业自动化系统集成、精密机电设备研发、智能检测技术工程化应用。 E-mail：hli@capitalbio.com" ]
- 基金信息：
  
  国家重点研发计划(2018YFA0902302;2018YFA0902304)
- DOI：10.12211/2096-8280.2025-038
  中图分类号： TP273
- 收稿：2025-04-29，
  
  修回：2025-06-25，
  
  纸质出版：2025-08-31
- 稿件说明：
移动端阅览
张建康，王文君，郭洪菊，白北辰，张亚飞，袁征，李彦辉，李航. 基于机器视觉的高通量微生物克隆挑选工作站研制及应用［J］. 合成生物学， 2025， 6（4）： 956-971

ZHANG Jiankang， WANG Wenjun， GUO Hongju， BAI Beichen， ZHANG Yafei， YUAN Zheng， LI Yanhui， LI Hang. Development and application of a high-throughput microbial clone picking workstation based on machine vision［J］. Synthetic Biology Journal， 2025， 6（4）： 956-971
张建康，王文君，郭洪菊，白北辰，张亚飞，袁征，李彦辉，李航. 基于机器视觉的高通量微生物克隆挑选工作站研制及应用［J］. 合成生物学， 2025， 6（4）： 956-971 DOI： 10.12211/2096-8280.2025-038.

ZHANG Jiankang， WANG Wenjun， GUO Hongju， BAI Beichen， ZHANG Yafei， YUAN Zheng， LI Yanhui， LI Hang. Development and application of a high-throughput microbial clone picking workstation based on machine vision［J］. Synthetic Biology Journal， 2025， 6（4）： 956-971 DOI： 10.12211/2096-8280.2025-038.

摘要

微生物克隆挑选是基因工程生物实验中的关键环节，需要从生长有大量菌落的培养皿中将符合质量要求的单克隆菌落准确、快速挑取出来并接种到培养基中，以便进一步扩大培养或检测。在高通量实验中，克隆挑选环节任务量大、记录繁复、容易交叉污染，依靠人工操作难以在短时间准确完成。针对这一难题，本项目成功研制出一种自动化克隆挑选工作站，通过菌落图像的深度学习实现克隆定位和筛选，并利用机器人技术完成挑取-接种-清洗-高温灭菌过程。在所研制的可视化工作界面中，工作站系统能够个性化编辑适用于多种微生物克隆的多项实验操作流程。通过样机验证实验结果，证明了所研制系统和方法的可行性和有效性，为高通量实验室自动化发展提供了有效工具和有益实践。

Abstract

Microbial clone picking

a crucial step in genetic engineering and biological experiments

involves the accurate and rapid isolation of single colonies with desired characteristics from petri dishes teeming with numerous clones

followed by their inoculation into culture media for further propagation or analysis. In high-throughput settings

this task becomes burdensome due to its vast volume

complex record-keeping requirements

and the risk of cross-contamination

rendering manual operations impractical for achieving timely and precise results. To address this challenge

we present the design and manufacture of an automated clone picking workstation that performs efficient clone picking using 96-channel pneumatic pick-up pins

eliminating the need for consumables. The pins can be reused after ultrasonic cleaning and sterilization at high temperature following the previous picking cycle

making it more economical and environmentally friendly

compared with other methods that use disposable pipettes or picking needles. The pins can be replaced to adapt to different types of bacterial strains to meet various experimental requirements. The grab integrated on the picking head can rotate 360° and transfer the plates to different work positions.In the aspect of colony detection

the photos are automatically taken by an optical system

and the positioning and screening of colonies are achieved through the deep learning of numerous colony images by the software

which was designed independently. The precision image recognition technology is coupled with robotic and automated control technologies to enable seamless processes for picking

inoculating

cleaning

and drying. The High-Efficiency Particulate Air Filter and ultraviolet

sterilization prevent cross-contamination

ensuring the experimental environment meets the required standards. This workstation is equipped with an independent operation computer and has developed a set of user-friendly software that enables personalized editing of multiple experimental protocols tailored to diverse microbial clone types. It can also communicate with external devices

via

TCP/IP protocols

facilitating the integration for conducting experiments such as fully automated synthetic biology. The validation experiment of bacterial colony picking was conducted by a prototype machine to test the selection efficiency. The success of the experiment suggests that the proposed system and method are feasible and effective

offering a valuable tool and a practical approach for the automation development of high-throughput laboratories.

关键词

Keywords

references

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