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<p>Approximately 10 million people worldwide suffer from corneal diseases, with endothelial dysfunction being a leading cause of blindness. Current morphological assessments lack sensitivity for detecting early corneal endothelial abnormalities. Here, we present a novel diagnostic framework that evaluates endothelial cell function at the single-cell level by analyzing morphological alterations. Using machine learning, we developed an image-based recognition system to digitize cellular features. By applying geometric and mathematical principles, we established the “Xin-Value” (XV) as a new functional metric. In several corneal endothelial injury models, XV strongly correlated with mitochondrial function and stress markers, confirming its biological relevance. Leveraging XV, we refined a grading system for endothelial damage, demonstrating improved accuracy across clinicians of varying expertise. This study introduces a paradigm shift in corneal endothelial assessment, enabling highly sensitive, image-based detection of early dysfunction at the single-cell level, with potential applications in clinical screening and disease monitoring.</p>

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A novel single-cell level evaluation method for corneal endothelial cell function

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月22日

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  • Dongfang Li,
  • Zongyi Li,
  • Haoyun Duan,
  • Xinhang Wang,
  • Zhan Lin,
  • Kun Dai,
  • Quan Qi,
  • Yanling Dong,
  • Ping Lin,
  • Wenjie Su,
  • Shuting Wang,
  • Xiangyue Hu,
  • Xiaojing Pan,
  • Xiaomin Liu,
  • Qingjun Zhou,
  • Lixin Xie

摘要

Approximately 10 million people worldwide suffer from corneal diseases, with endothelial dysfunction being a leading cause of blindness. Current morphological assessments lack sensitivity for detecting early corneal endothelial abnormalities. Here, we present a novel diagnostic framework that evaluates endothelial cell function at the single-cell level by analyzing morphological alterations. Using machine learning, we developed an image-based recognition system to digitize cellular features. By applying geometric and mathematical principles, we established the “Xin-Value” (XV) as a new functional metric. In several corneal endothelial injury models, XV strongly correlated with mitochondrial function and stress markers, confirming its biological relevance. Leveraging XV, we refined a grading system for endothelial damage, demonstrating improved accuracy across clinicians of varying expertise. This study introduces a paradigm shift in corneal endothelial assessment, enabling highly sensitive, image-based detection of early dysfunction at the single-cell level, with potential applications in clinical screening and disease monitoring.