Gallagher M T, Smith D J, Kirkman-Brown J C
School of Mathematics, University of Birmingham, Birmingham, B15 2TT, UK.
Institute for Metabolism and Systems Research, University of Birmingham, Birmingham, B15 2TT, UK.
Reprod Fertil Dev. 2018 Jun;30(6):867-874. doi: 10.1071/RD17420.
The human semen sample carries a wealth of information of varying degrees of accessibility ranging from the traditional visual measures of count and motility to those that need a more computational approach, such as tracking the flagellar waveform. Although computer-aided sperm analysis (CASA) options are becoming more widespread, the gold standard for clinical semen analysis requires trained laboratory staff. In this review we characterise the key attitudes towards the use of CASA and set out areas in which CASA should, and should not, be used and improved. We provide an overview of the current CASA landscape, discussing clinical uses as well as potential areas for the clinical translation of existing research technologies. Finally, we discuss where we see potential for the future of CASA, and how the integration of mathematical modelling and new technologies, such as automated flagellar tracking, may open new doors in clinical semen analysis.
人类精液样本承载着丰富的信息，其获取难度各不相同，从传统的精子计数和活力的视觉测量，到那些需要更多计算方法的信息，比如追踪鞭毛波形。尽管计算机辅助精子分析（CASA）方法越来越普及，但临床精液分析的金标准仍需要训练有素的实验室工作人员。在本综述中，我们描述了对使用CASA的关键态度，并阐述了CASA应该使用、不应该使用以及需要改进的领域。我们概述了当前CASA的情况，讨论了其临床应用以及现有研究技术临床转化的潜在领域。最后，我们讨论了CASA未来的潜力所在，以及数学建模与诸如自动鞭毛追踪等新技术的整合如何可能为临床精液分析打开新的大门。
