基于图像的自动化对多能干细胞殖民地进行分析
Rui Geng1,2, Benjamin L Kidder1,2
1Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
bioRxiv : the preprint server for biology
|September 26, 2025
概括
ColonyQuant是一个新的开源平台,自动化干细胞殖民地分析,超越主观评分. 它量化了形态学和染色强度,用于在干细胞研究和药物发现中进行可复制,高含量查.
科学领域:
- 干细胞生物学 干细胞生物学
- 发育生物学 发展生物学
- 药物发现 药物发现 药物发现
- 定量图像分析 定量图像分析
背景情况:
- 干细胞群体的手动评分是主观的,缓慢的,不可扩展的.
- 将复杂的殖民地形态转换为可重复的数据集是一个主要的挑战.
研究的目的:
- 开发一个开源平台,ColonyQuant,用于干细胞群的自动定量图像分析.
- 将细分,强度量化,形态特征分析和统计分类整合到一个工作流中.
主要方法:
- ColonyQuant执行自动化殖民地细分和性酸酶 (AP) 强度量化.
- 它计算了每个殖民地的功能读数和全面的形状描述器.
- 该平台将这些功能整合到一个统一的分析框架中.
主要成果:
- 在用KDM4抑制剂治疗的ESC中,ColonyQuant显示了殖民地面积和AP信号的剂量依赖性减少.
- 它确定了对形态度指标的系统改造,以强度和稳定性为关键特征.
- 多变量分析基于殖民地反应,对治疗群体进行了强有力的分层分析.
结论:
- ColonyQuant将主观评分转化为客观,可扩展和生物可解释的表型.
- 它为干细胞研究和高含量查提供了一个可复制的平台.
- 该工具可以精确分析干细胞群对化学处理的反应.
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