混合代-平均低光子预算加博尔全息显微镜
Mikolaj Rogalski1, Piotr Arcab1, Emilia Wdowiak1
1Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland.
概括
一个新的代的加博平均 (IGA) 算法通过减少低照明条件下的噪音来增强无标签的活细胞成像. 这种方法改善了动态生物样本和光学薄型标本的定量相位成像 (QPI).
科学领域:
- 生物物理学的生物物理.
- 光学显微镜的使用方法
- 图像处理 图像处理
背景情况:
- 定量相成像 (QPI) 在实现高对比度,无标签成像,对活细胞影响最小的情况下面临挑战.
- 低光子预算 (LPB) 成像降低了光毒性,但引入了显著的相机拍摄噪声和量化噪声,阻碍了QPI.
- 数字直线全息显微镜 (DIHM) 为LPB数据提供了稳定性,但与同时的双图像和射击噪声抑制相斗争.
研究的目的:
- 开发一种新的算法,用于在低照明强度下有效降低多DIHM的噪声.
- 为了应对在DIHM中同时最大限度地减少双重图像干扰和摄像头拍摄噪声的关键挑战.
- 为了实现动态生物样本和光学薄型标本的高速,无光刺激的成像.
主要方法:
- 介绍代的加博平均 (IGA) 算法,将代相位检索与平均结合起来.
- 利用一个代过程来重建高保真相位图像,同时平均相机拍摄噪声跨.
- 使用在低照明条件下获取的多DIHM数据.
主要成果:
- 模拟表明,IGA在重建准确性方面优于传统方法,特别是在高噪音条件下.
- 实验验证表明IGA在低光照明下对动态精子细胞和静态相目标的高速成像中的有效性.
- 该算法在光学薄的样本中取得了成功,这些样本通常会产生低信号对噪声全息图.
结论:
- IGA算法有效地抑制双图像干扰和多DIHM中的射击噪声,在低光子预算下实现高质量的成像.
- IGA是一种强大的工具,用于动态生物样本的无光刺激,高速成像.
- 这一进步提高了具有极低光学厚度的样品的成像能力,在低光照明环境中具有潜在的生物医学和环境应用.
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