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Fish swarm window selection algorithm based on cell microscopic automatic focus

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Abstract

The selection window of selection algorithm used in traditional automatic focus window concentrates mainly on the center of image, so the randomly distributed cells would always be out of focus. To address this problem, on the basis of analyzing the performance of selection algorithm of different focusing windows, a modified auto-focus window algorithm upon traditional fish swarm algorithm has been proposed: fish swarm window selection algorithm. After comparatively analyzing the images in focus window that are obtained by traditional and improved fish swarm algorithm, a conclude can be drawn that the focus window of modified algorithm can contain more cells and target bodies. To be specific, owing to fish-swarm window selection algorithm, in the selection window the quantity of the high frequency of images greatly increases, the optimal solution converges to 0.999, and the estimated value of sharpness of the obtained microscopic cell images also improves with high precision and high accuracy of focus of the improved algorithm.

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Acknowledgements

This work was financially supported by Natural Science Foundation of China (51305128) and key scientific and technological project of Henan Province (162102210049).

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Authors and Affiliations

  1. School of Mechatronics and Engineering, Henan University of Science and Technology, Luoyang, 471003, Henan, China

    Feng-shou Zhang & Si-wen Li

  2. School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, 471003, Henan, China

    Zhi-gang Hu & Zhe Du

Authors
  1. Feng-shou Zhang
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  2. Si-wen Li
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  3. Zhi-gang Hu
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  4. Zhe Du
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Correspondence to Feng-shou Zhang.

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Zhang, Fs., Li, Sw., Hu, Zg. et al. Fish swarm window selection algorithm based on cell microscopic automatic focus. Cluster Comput 20, 485–495 (2017). https://doi.org/10.1007/s10586-017-0752-4

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