Publications by authors named "Nianfei Ao"
Article Synopsis
- Histological analysis of testicular sections is essential for infertility research but often requires extensive training, prompting the need for faster methods.
- A new deep learning model was developed to analyze mouse testicular sections stained with H&E, resulting in improved accuracy and reduced analysis time while identifying spermatogenic defects in mutant mice.
- The SCSD-Net model enables rapid assessment of reproductive defects in just 2.5-3 hours, revealing significant interactions between Sertoli and DAZ family proteins that impact testis size and meiotic function.
Motivation: Differentiating 12 stages of the mouse seminiferous epithelial cycle is vital towards understanding the dynamic spermatogenesis process. However, it is challenging since two adjacent spermatogenic stages are morphologically similar. Distinguishing Stages I-III from Stages IV-V is important for histologists to understand sperm development in wildtype mice and spermatogenic defects in infertile mice.
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