利用光流体时间拉伸成像流式细胞术对精子进行高通量和无染色形态学分析

Yueyun Weng, Yujie Zou, Yan Jin, Shubin Wei, Feng Zhang, Rubing Li, Liye Mei, Dongyong Yang, Zhimin Deng, Rui Qu, Dongdong Tang, Du Wang, Fuling Zhou, Sheng Liu, Tailang Yin, Cheng Lei
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引用次数: 0

摘要

男性不育症的发病率逐年上升,严重影响了社会的可持续发展。精子形态分析在评估精子生育能力方面发挥着重要作用。然而,目前的精子形态分析通常使用染色精子的显微图像,需要进行复杂的染色操作,难以实现全面高效的诊断。在这项工作中,我们提出了利用光流体时间拉伸(OTS)成像流式细胞仪进行精子形态分析,并进行了实验演示。具体来说,我们利用高通量 OTS 成像流式细胞仪捕获无染色精子图像,并利用 U-Net 网络分析其形态特征。对 20 份临床精液样本的 40,000 张图像进行的分析表明,我们的方法比涂片检验获得了更高的准确性,并且与使用常规精液检查综合方法得出的结果高度一致。这项工作提供了一种高通量、免染色的精子形态分析方法,有望用于精液的综合评估。
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High-Throughput and Stain-Free Morphological Analysis of Sperm Using Optofluidic Time-Stretch Imaging Flow Cytometry.

The incidence of male infertility has kept increasing year by year, severely affecting the sustainability of society. Sperm morphological analysis plays an important role in assessing sperm fertility. However, current sperm morphological analysis is usually performed using microscopic images of stained sperm, which requires complex staining operations, making it difficult to achieve a comprehensive and efficient diagnosis. In this work, we propose and experimentally demonstrate sperm morphological analysis with optofluidic time-stretch (OTS) imaging flow cytometry. Specifically, we capture the stain-free sperm images with high-throughput OTS imaging flow cytometry and analyze the morphological features using a U-Net network. The analysis of 40,000 images from 20 clinical semen samples indicates that our method achieves higher accuracy than the smear test and shows high concordance with the results using comprehensive methods of routine semen examination. This work provides a high-throughput, stain-free sperm morphological analysis method, which holds promise for a comprehensive evaluation of semen.

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