图像相关谱学 (CV-ICS) 的变化系数量化了从具有低光子计数的图像中得到的染色质紧缩
Elisa Longo1, Greta Paternò1, Luca Lanzanò2
1Department of Physics and Astronomy "Ettore Majorana", University of Catania, Via S. Sofia 64, 95123 Catania, Italy.
Methods (San Diego, Calif.)
|March 14, 2026
概括
我们开发了一种新的方法,使用图像相关谱学 (CV-ICS) 的变化系数,以准确测量染色质紧缩. 这种技术克服了显微镜中低光子计数的局限性,确保活细胞成像和超分辨率显微镜的可靠结果.
科学领域:
- 细胞生物学 细胞生物学
- 显微镜技术的使用方法
- 生物物理学的生物物理.
背景情况:
- 同焦点和超分辨率显微镜需要低激发光来最大限度地减少光毒性,从而减少光子数量.
- 传统的变化系数 (CV) 量化了染色质紧缩,但由于射击噪声占主导地位,在低光子计数时不可靠.
研究的目的:
- 引入和验证一种新的方法,CV-ICS,用于在低光子计数条件下进行可靠的染色质紧缩测量.
- 为了证明CV-ICS在活细胞成像和超分辨率显微镜中的适用性.
主要方法:
- 通过从图像的空间自相关函数中提取CV参数来开发CV-ICS.
- 应用CV-ICS对标有Hoechst 33342.2的活HeLa细胞进行快速共聚焦成像.
- 在不同的光子计数和实验条件下,与常规CV相比,验证了CV-ICS.
主要成果:
- 传统的CV在40像素以下的光子计数时会有显著的偏差 (~50%),而CV-ICS不受射击噪声的影响.
- CV-ICS准确地跟踪了对高和低奥斯莫斯压力的反应中的染色质紧缩变化.
- 在激光诱导的DNA损伤后,CV-ICS成功监测了染色质紧缩动态.
结论:
- CV-ICS是一种强大可靠的参数,用于量化染色质紧缩,特别是在低光子计数场景中.
- 这种方法增强了使用有限光子预算的显微镜技术的实用性,用于研究动态细胞过程.
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