The MSP430-based control system for automatic ELISA tester

Xinghua Zhao; Lianqing Zhu; Mingli Dong; Ting Lin; Shouwei Niu

doi:10.1117/12.717226

6 November 2006 The MSP430-based control system for automatic ELISA tester

Xinghua Zhao, Lianqing Zhu, Mingli Dong, Ting Lin, Shouwei Niu

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63573F (2006) https://doi.org/10.1117/12.717226
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

This paper introduces the scheme of a control system for a fully automatic ELISA (Enzyme-linked Immunosorbent Assay) tester. This tester is designed to realize the movement and positioning of the robotic arms and the pipettors and to complete the functions of pumping, reading, washing, incubating and so on. It is based on a MSP430 flash chip, a 16-bit MCU manufactured by TI Co, with very low power consumption and powerful functions. This chip is adopted in all devices of the workstation to run the controlling program, to store involved parameters and data, and to drive stepper motors. To the MCUs, motors, sensors, valves and fans are extended. A personal computer (PC) is employed to communicate with the instrument through an interface board. Relevant hardware circuits are provided. Two programs, one running in PC performs users' operation about assay options and results, the other running in MCU initiates the system and waits for commands to drive the mechanisms, are developed. Through various examinations, this control system is proved to be reliable, efficient and flexible.

Citation Download Citation

Xinghua Zhao, Lianqing Zhu, Mingli Dong, Ting Lin, and Shouwei Niu "The MSP430-based control system for automatic ELISA tester", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63573F (6 November 2006); https://doi.org/10.1117/12.717226

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KEYWORDS

Control systems

Sensors

Human-machine interfaces

Computing systems

Control systems design

Interfaces

Telecommunications

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