Shi Linda Z, Nascimento Jaclyn M, Berns Michael W, Botvinick Elliot L
Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.
J Biomed Opt. 2006 Sep-Oct;11(5):054009. doi: 10.1117/1.2357735.
This paper describes a robust single sperm tracking algorithm (SSTA) that can be used in laser optical trapping and sperm motility studies. The algorithm creates a region of interest (ROI) centered about a sperm selected by the user. SSTA contrast enhances the ROI image and implements a modified four-class thresholding method to extract the tracked sperm as it transitions in and out of focus. The nearest neighbor method is complemented with a speed-check feature to aid tracking in the presence of additional sperm or other particles. SSTA has a collision-detection feature for real or perceived collision or near-miss cases between two sperm. Subsequent postcollision analysis employs three criteria to distinguish the tracked sperm in the image. The efficacy of SSTA is validated through examples and comparisons to commercially available computer-aided sperm tracking systems.
本文描述了一种强大的单精子追踪算法（SSTA），该算法可用于激光光镊和精子活力研究。该算法围绕用户选择的精子创建一个感兴趣区域（ROI）。SSTA对比度增强ROI图像，并采用改进的四类阈值法，以便在精子聚焦和失焦过渡时提取被追踪的精子。最近邻法辅以速度检查功能，以帮助在存在其他精子或其他颗粒的情况下进行追踪。SSTA具有碰撞检测功能，可检测两个精子之间实际发生的碰撞、疑似碰撞或险些碰撞的情况。后续的碰撞后分析采用三个标准来区分图像中被追踪的精子。通过实例以及与市售计算机辅助精子追踪系统的比较，验证了SSTA的有效性。
