Computational adaptive optics for live three-dimensional biological imaging
Computational adaptive optics for live three-dimensional biological imaging
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DOI：
10.1073/pnas.071275698
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发表时间：
2001-03-27
影响因子：
11.1
通讯作者：
Sedat, JW
中科院分区：
文献类型：
--
作者：
Kam, Z;Hanser, B;Sedat, JW
厚的生物样品（例如组织）的光学显微镜检查通常受到由样品本身内的折射率变化引起的像差的限制。这个问题对于实时成像尤其严重，实时成像是由于固有荧光蛋白的发展而引起的当前极大兴奋的领域。我们描述了一种通过计算消除此类像差的方法，方法是使用微分干涉衬度显微镜绘制样本的折射率，通过该折射率图进行光线追踪来对像差进行建模，并使用空变反卷积来消除像差。这种方法将打开研究弱标记分子的可能性难以成像的活标本。
Light microscopy of thick biological samples, such as tissues, is often limited by aberrations caused by refractive index variations within the sample itself. This problem is particularly severe for live imaging, a field of great current excitement due to the development of inherently fluorescent proteins. We describe a method of removing such aberrations computationally by mapping the refractive index of the sample using differential interference contrast microscopy, modeling the aberrations by ray tracing through this index map, and using space-variant deconvolution to remove aberrations, This approach will open possibilities to study weakly labeled molecules in difficult-to-image live specimens.