Scholarlink

<p>In order to address the issue of tracking errors of collision <i>Caenorhabditis elegans</i>, this research proposes an improved particle filter tracking method integrated with cultural algorithm. The particle filter algorithm is enhanced through the integration of the sine cosine algorithm, thereby facilitating uninterrupted tracking of the target <i>C. elegans</i>. Furthermore, the cultural algorithm is employed to facilitate recognition of the target <i>C. elegans</i> following a collision. In addition, this method integrates the concepts of down-sample and marking to reduce the average processing time of the image. Ultimately, the experiment was conducted on two strains of <i>C. elegans</i> of six ages. The experimental results demonstrate that the proposed method can accurately identify the target worm in the post-collision stage. The proposed method has the potential to be utilized in the field of worm tracking, offering a novel method into the acquisition of collision <i>C. elegans</i> behavior.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Improved particle filter algorithm combined with culture algorithm for collision Caenorhabditis elegans tracking

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月25日

查看全文
  • Taoyuan Yu,
  • Xiping Xu,
  • Yuanpeng Li,
  • Ning Zhang,
  • Naiyu Zhang,
  • Xiaohui Wang

摘要

In order to address the issue of tracking errors of collision Caenorhabditis elegans, this research proposes an improved particle filter tracking method integrated with cultural algorithm. The particle filter algorithm is enhanced through the integration of the sine cosine algorithm, thereby facilitating uninterrupted tracking of the target C. elegans. Furthermore, the cultural algorithm is employed to facilitate recognition of the target C. elegans following a collision. In addition, this method integrates the concepts of down-sample and marking to reduce the average processing time of the image. Ultimately, the experiment was conducted on two strains of C. elegans of six ages. The experimental results demonstrate that the proposed method can accurately identify the target worm in the post-collision stage. The proposed method has the potential to be utilized in the field of worm tracking, offering a novel method into the acquisition of collision C. elegans behavior.