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通过定量组织形态学分析对小鼠睾丸切片进行计算机化精子发生分期(CSS)。

Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis.

作者信息

Xu Jun, Lu Haoda, Li Haixin, Yan Chaoyang, Wang Xiangxue, Zang Min, Rooij Dirk G de, Madabhushi Anant, Xu Eugene Yujun

机构信息

Jiangsu Key Laboratory of Big Data Analysis Technique and CICAEET, Nanjing University of Information Science and Technology, Nanjing 210044, China; School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Jiangsu Key Laboratory of Big Data Analysis Technique and CICAEET, Nanjing University of Information Science and Technology, Nanjing 210044, China; School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.

出版信息

Med Image Anal. 2021 May;70:101835. doi: 10.1016/j.media.2020.101835. Epub 2020 Oct 10.

Abstract

Spermatogenesis in mammals is a cyclic process of spermatogenic cell development in the seminiferous epithelium that can be subdivided into 12 subsequent stages. Histological staging analysis of testis sections, specifically of seminiferous tubule cross-sections, is the only effective method to evaluate the quality of the spermatogenic process and to determine developmental defects leading to infertility. Such staging analysis, however, is tedious and time-consuming, and it may take a long time to become proficient. We now have developed a Computerized Staging system of Spermatogenesis (CSS) for mouse testis sections through learning of an expert with decades of experience in mouse testis staging. The development of the CSS system comprised three major parts: 1) Developing computational image analysis models for mouse testis sections; 2) Automated classification of each seminiferous tubule cross-section into three stage groups: Early Stages (ES: stages I-V), Middle Stages (MS: stages VI-VIII), and Late Stages (LS: stages IV-XII); 3) Automated classification of MS into distinct stages VI, VII-mVIII, and late VIII based on newly developed histomorphological features. A cohort of 40 H&E stained normal mouse testis sections was built according to three modules where 28 cross-sections were leveraged for developing tubule region segmentation, spermatogenic cells types and multi-concentric-layers segmentation models. The rest of 12 testis cross-sections, approximately 2314 tubules whose stages were manually annotated by two expert testis histologists, served as the basis for developing the CSS system. The CSS system's accuracy of mean and standard deviation (MSD) in identifying ES, MS, and LS were 0.93 ± 0.03, 0.94 ± 0.11, and 0.89 ± 0.05 and 0.85 ± 0.12, 0.88 ± 0.07, and 0.96 ± 0.04 for one with 5 years of experience, respectively. The CSS system's accuracy of MSD in identifying stages VI, VII-mVIII, and late VIII are 0.74 ± 0.03, 0.85 ± 0.04, and 0.78 ± 0.06 and 0.34 ± 0.18, 0.78 ± 0.16, and 0.44 ± 0.25 for one with 5 years of experience, respectively. In terms of time it takes to collect these data, it takes on average 3 hours for a histologist and 1.87 hours for the CSS system to finish evaluating an entire testis section (computed with a PC (I7-6800k 4.0 GHzwith 32GB of RAM & 256G SSD) and a Titan 1080Ti GPU). Therefore, the CSS system is more accurate and faster compared to a human histologist in staging, and further optimization and development will not only lead to a complete staging of all 12 stages of mouse spermatogenesis but also could aid in the future diagnosis of human infertility. Moreover, the top-ranking histomorphological features identified by the CSS classifier are consistent with the primary features used by histologists in discriminating stages VI, VII-mVIII, and late VIII.

摘要

哺乳动物的精子发生是生精上皮中生精细胞发育的一个循环过程,可细分为12个连续阶段。对睾丸切片,特别是生精小管横截面进行组织学分期分析,是评估精子发生过程质量以及确定导致不育的发育缺陷的唯一有效方法。然而,这种分期分析既繁琐又耗时,而且可能需要很长时间才能熟练掌握。我们现在通过向一位在小鼠睾丸分期方面有几十年经验的专家学习,开发了一种用于小鼠睾丸切片的精子发生计算机化分期系统(CSS)。CSS系统的开发包括三个主要部分:1)为小鼠睾丸切片开发计算图像分析模型;2)将每个生精小管横截面自动分类为三个阶段组:早期阶段(ES:I - V期)、中期阶段(MS:VI - VIII期)和晚期阶段(LS:IX - XII期);3)基于新开发的组织形态学特征,将MS自动分类为不同的VI期、VII - VIII期和晚期VIII期。根据三个模块构建了一组40个苏木精 - 伊红(H&E)染色的正常小鼠睾丸切片,其中利用28个横截面来开发小管区域分割、生精细胞类型和多层同心层分割模型。其余12个睾丸横截面,约2314个小管,其阶段由两名睾丸组织学专家手动标注,作为开发CSS系统的基础。对于一位有5年经验的人来说,CSS系统识别ES、MS和LS的平均标准差(MSD)准确率分别为0.93±0.03、0.94±0.11和0.89±0.05以及0.85±0.12、0.88±0.07和0.96±0.04。CSS系统识别VI期、VII - VIII期和晚期VIII期的MSD准确率分别为0.74±0.03、0.85±0.04和0.78±0.06以及0.34±0.18、0.78±0.16和0.44±0.25。就收集这些数据所需的时间而言,组织学家平均需要3小时,而CSS系统完成评估整个睾丸切片平均需要1.87小时(使用一台PC(I7 - 6800k 4.0 GHz,32GB内存和256G固态硬盘)和一块Titan 1080Ti GPU计算)。因此,在分期方面,CSS系统比人类组织学家更准确、更快,进一步的优化和开发不仅将实现小鼠精子发生所有12个阶段的完整分期,还可能有助于未来人类不育症的诊断。此外,CSS分类器识别出的顶级组织形态学特征与组织学家在区分VI期、VII - VIII期和晚期VIII期时使用的主要特征一致。

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