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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 31, Number 12(1) (2019)
Copyright(C) MYU K.K.
pp. 4013-4027
S&M2066 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2515
Published: December 6, 2019

Accurate Sheet Resistivity Measurement Based on Image Reconstruction Using Improved Node-back-projection Algorithm [PDF]

Xinfu Liu, Qianwen Li, Hsiung-Cheng Lin, Pengfei Wu, and Mengdan Wang

(Received July 10, 2019; Accepted August 22, 2019)

Keywords: pseudo-measurement method, sheet resistivity, electrical impedance tomography, node-back-projection algorithm

Currently, electrical impedance tomography (EIT) is widely used in sheet resistivity measurement of silicon wafers. The reconstruction of a resistivity image by electrical impedance imaging usually uses a four-probe measurement method. However, it may cause some loss of data and result in inaccurate outcomes. To resolve this problem, in this paper, we propose an improved node-back-projection algorithm by integrating the pseudo-measurement principle. High-resolution resistivity images can therefore be obtained quickly without damaging the silicon wafer. The resistivity contour map is then formed to identify the resistivity distribution. Accordingly, the positions of defects in the silicon wafer can be determined from the measured image, making the quality of silicon-wafer-based chips more reliable. The experimental results verify that the proposed algorithm is superior in terms of precision, reliability, and speed.

Corresponding author: Hsiung-Cheng Lin


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xinfu Liu, Qianwen Li, Hsiung-Cheng Lin, Pengfei Wu, and Mengdan Wang, Accurate Sheet Resistivity Measurement Based on Image Reconstruction Using Improved Node-back-projection Algorithm, Sens. Mater., Vol. 31, No. 12, 2019, p. 4013-4027.



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