关键词: 诊断, 生育力预测, 图像分析, 多种异常指数, 模式识别, 生殖毒性, 精子缺失, 精子畸形指数, 精子病理学, 畸形精子指数, 视频显微扫描技术

Abstract: The assessment of the percentage of spermatozoa having an ‘ideal’morphology using so-called strict method is the method recommended in the latest edition of the World Health Organization（WHO） laboratory manual for semen analysis. This recommendation is a result of the statistical association between ‘ideal’sperm morphology and fertility，and of the current general belief that sperm morphology assessment should be used primarily as a fertility tool. The notion of an ‘ideal’sperm morphology has persisted despite the very low percentage of such spermatozoa in the semen of fertile men，a subject of intense controversy. The detailed categorization of each abnormal spermatozoon has thus，for a long time，been considered optional and partially redundant，an idea which is reflected in the earlier editions of the WHO manual. However，several recent studies have shown the importance of carefully assessing abnormal sperm morphology for use in the diagnosis of infertility，to determine fertility prognosis，and for basic or public health studies. One approach，which combines videomicroscopy and computer vision，and is the only approach able to assess the continuum of sperm biometrics，has been used successfully in several recent clinical，basic and toxicology studies. In summary，the visual assessment of detailed sperm morphology-including the categorization of anomalies allowing arithmetically derived indices of teratozoospermia-and the more modern computer-based approaches，although often considered to be redundant，are in fact complementary. The choice of the most appropriate method depends on the field of investigation（clinical，research，toxicology）and the problem being addressed. Each approach has advantages as well as certain limitations，which will be discussed briefly herein.

Key words: Diagnosis, Fertility prognosis, Image analysis, Multiple anomalies index, Pattern recognition, Reproductive toxicology, Sperm defects, Sperm deformity index, Sperm pathology, Teratozoospermic index, Videomicroscopy