Design and implementation of fully automatic pathological staining control system based on STM32

doi:10.3785/j.issn.1006-754X.2022.00.063

Chin J Eng Design

2022, Vol. 29

Issue (4): 510-518 DOI: 10.3785/j.issn.1006-754X.2022.00.063

Whole Machine and System Design

Design and implementation of fully automatic pathological staining control system based on STM32

Xin-ping TAN¹(

),Lang GAN¹,Cheng-xu LIN¹,Xue-mei LI²,Qian LI²,Wang YAN²,Gang CHEN²,Guang-lan LIAO¹,Zhi-yong LIU¹(

)

^1.School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
^2.Wuhan Health Care Biotechnology Co. , Ltd. , Wuhan 430000, China

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Abstract

FISH (fluorescence in situ hybridization) staining is an important technique applied to pathological analysis. Traditional manual staining method is difficult to control hybridization quality due to the cumbersome operation and the limitations of experimental conditions, while the existing domestic staining system has the disadvantages of low degree of automation. In order to solve the above problems, a fully automatic pathological staining control system was developed based on STM32 embedded system and GUI (graphical user interface). With STM32F103ZET6 as the lower processor, GUI interface designed by QT software and C++ language, the system realized the fully automatic control of multi-sample FISH staining process. The developed control system could meet the control requirements of the fully automatic pathological staining system. The position accuracy of the dropping reagent could reach 0.05 mm, the reagent volume accuracy could reach 0.6 μL, the equipment fault response time was less than 0.5 s, the failure rate of equipment in multiple experiments was less than 3%, the accuracy of reagent type selection during sample addition reached 100%, and the image legibility rate was more than 90%. The control system has the advantages of high efficiency and high robustness. Combined with the fully automatic pathological staining hardware system, the staining experiment could achieve a uniform and good staining effect. So, it has good application value.

Key words： fully automatic pathological staining system control system STM32F103ZET6 GUI(graphical user interface) FISH (fluorescence in situ hybridization) staining technology

Received: 20 December 2021 Published: 05 September 2022

CLC:

TP 273

Corresponding Authors: Zhi-yong LIU E-mail: tan@hust.edu.cn;zhiyong_liu@hust.edu.cn

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	Xin-ping TAN
	Lang GAN
	Cheng-xu LIN
	Xue-mei LI
	Qian LI
	Wang YAN
	Gang CHEN
	Guang-lan LIAO
	Zhi-yong LIU

Cite this article:

Xin-ping TAN,Lang GAN,Cheng-xu LIN,Xue-mei LI,Qian LI,Wang YAN,Gang CHEN,Guang-lan LIAO,Zhi-yong LIU. Design and implementation of fully automatic pathological staining control system based on STM32. Chin J Eng Design, 2022, 29(4): 510-518.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2022.00.063 OR https://www.zjujournals.com/gcsjxb/Y2022/V29/I4/510

基于STM32的全自动病理染色控制系统的设计与实现

FISH （fluorescence in situ hybridization，荧光原位杂交）染色是应用于病理分析的重要技术。传统的手工染色方式由于操作繁琐及实验条件限制难以控制杂交质量，而国内现有的染色系统存在自动化程度低等缺点。为了解决上述问题，基于STM32嵌入式系统和GUI （graphical user interface，图形用户界面）开发了一套全自动病理染色控制系统。以STM32F103ZET6作为下位机处理器，利用QT软件和C++语言设计GUI界面，实现了对多样本FISH染色过程的全自动化控制。所研发的控制系统能够满足全自动病理染色系统的控制要求，滴加试剂的位置精度达到0.05 mm，试剂体积精度达到0.6 μL，设备故障响应时间小于0.5 s，多次实验设备运行故障率小于3%，加样时试剂类型选择准确率达到100%，图像可判读率达到90%以上。该控制系统具有高效率、高鲁棒性的优点，结合全自动病理染色硬件系统进行染色实验，取得了均匀、良好的染色效果，因此具有良好的应用价值。

关键词： 全自动病理染色系统, 控制系统, STM32F103ZET6, GUI （图形用户界面）, FISH （荧光原位杂交）染色技术

Fig.1 Composition of staining control system

Fig.2 Main circuit connection schematic of staining control system

Table 1 Parameters of main moving parts of staining control system

Fig.3 Module composition of lower computer

Table 2 Pin assignment of STM32 I/O module

Fig.4 Program flow chart of lower computer

Fig.5 Module composition of upper computer

Table 3 Staining steps of fully automatic pathological staining system for FISH staining

Fig.6 GUI interface of staining control system

Table 4 Interface state variables and their events and set values

Fig.7 Communication content and STM32 data transmission process

Fig.8 Multi sensor information fusion process

Fig.9 Model rendering diagram and physical structure diagram of fully automatic pathological staining system

Fig.10 Fluorescence images obtained from experiments

Table 5 Parameter comparison between the fully automatic pathological staining system developed and the existing automated staining system


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