Opto-Electronic Engineering, Volume. 44, Issue 7, 685(2017)

Applications of hybrid search strategy in microscope autofocus

Minshan Jiang, Nannan Zhang, Xuedian Zhang, Jia Gu, Xue Li, and Feng Li
Author Affiliations
  • [in Chinese]
  • show less

    For autofocus system of the microscope, this paper presents a hybrid search algorithm combining the mountain-climb search strategy with the approximation function strategy. In this algorithm, the mountain-climb search strategy adopts the two-stage algorithm of rough and fine focusing stage. In the rough focusing stage, the gray variance function is used to approach the focusing position quickly. In the fine focusing stage, the Laplacian function is used to locate the focusing position accurately. The algorithm narrows the focus interval by comparing three pictures and the approximation function strategy is used to fit the best focus in this range. This method greatly reduces the number of images required for autofocus and greatly improves the search accuracy. The experimental results indicate that this algorithm can make the search accuracy better than 1 μm.

    Tools

    Get Citation

    Copy Citation Text

    Minshan Jiang, Nannan Zhang, Xuedian Zhang, Jia Gu, Xue Li, Feng Li. Applications of hybrid search strategy in microscope autofocus[J]. Opto-Electronic Engineering, 2017, 44(7): 685

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 28, 2017

    Accepted: --

    Published Online: Nov. 27, 2017

    The Author Email:

    DOI:10.3969/j.issn.1003-501x.2017.07.004

    Topics