Automatic focusing technology of liquid-based exfoliated cell microscopic vision system

Wen Zhang; Zhengfu Yang; Xiao Tian

doi:10.1117/12.2680918

8 June 2023 Automatic focusing technology of liquid-based exfoliated cell microscopic vision system

Wen Zhang, Zhengfu Yang, Xiao Tian

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127070Y (2023) https://doi.org/10.1117/12.2680918
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

There are many impurities in the liquid-based exfoliated cell medical pathology slide and the phenomenon of multiple peaks in the evaluation of the front and back images, which may lead to the failure of focus in the automatic scanning and photographing of the system, and the low efficiency of the whole slide scanning. Based on the self-developed digital cell morphology inspection system, a comprehensive evaluation method for the sharpness of fusion image content preprocessing evaluation was proposed, which solved the problem of multi-peak discrimination in image sequence evaluation, and improved the image quality and efficiency of single-point focusing; During the whole scanning, the single-field focusing method of slide based on the traditional mountain-climbing method and the full-field efficient automatic scanning strategy based on multi-point and fixed-plane were designed to greatly improve the scanning speed. The experimental results show that the fusion image content pre-processing comprehensive evaluation method combined with the motion acquisition synchronous background operation strategy has a focus success rate of 98.68%, a single point focus time of 936 ms, and a full slide scan time of 142 s for the 200 field of view, which meets the requirements of clinical liquid-based cell morphology and pathology.

Citation Download Citation

Wen Zhang, Zhengfu Yang, and Xiao Tian "Automatic focusing technology of liquid-based exfoliated cell microscopic vision system", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127070Y (8 June 2023); https://doi.org/10.1117/12.2680918

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KEYWORDS

Image fusion

Image sharpness

Inspection

Image acquisition

Imaging systems

Cameras

Image filtering

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