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蒙特卡罗荧光显微断层成像技术。

Monte Carlo fluorescence microtomography.

出版信息

J Biomed Opt. 2011 Jul;16(7):070501. doi: 10.1117/1.3596171.

Abstract

Fluorescence microscopy allows real-time monitoring of optical molecular probes for disease characterization, drug development, and tissue regeneration. However, when a biological sample is thicker than 1 mm, intense scattering of light would significantly degrade the spatial resolution of fluorescence microscopy. In this paper, we develop a fluorescence microtomography technique that utilizes the Monte Carlo method to image fluorescence reporters in thick biological samples. This approach is based on an l(0)-regularized tomography model and provides an excellent solution. Our studies on biomimetic tissue scaffolds have demonstrated that the proposed approach is capable of localizing and quantifying the distribution of optical molecular probe accurately and reliably.

摘要

荧光显微镜可以实时监测用于疾病特征描述、药物开发和组织再生的光学分子探针。然而,当生物样本厚度超过 1 毫米时,强烈的光散射会显著降低荧光显微镜的空间分辨率。在本文中,我们开发了一种荧光断层扫描技术,该技术利用蒙特卡罗方法对厚生物样本中的荧光报告分子进行成像。该方法基于 l(0)正则化断层扫描模型,提供了一种优秀的解决方案。我们在仿生组织支架上的研究表明,所提出的方法能够准确可靠地定位和量化光学分子探针的分布。

相似文献

1
Monte Carlo fluorescence microtomography.蒙特卡罗荧光显微断层成像技术。
J Biomed Opt. 2011 Jul;16(7):070501. doi: 10.1117/1.3596171.

本文引用的文献

3
Differential evolution approach for regularized bioluminescence tomography.正则化生物发光断层成像的差分进化算法。
IEEE Trans Biomed Eng. 2010 Sep;57(9):2229-38. doi: 10.1109/TBME.2010.2041452. Epub 2010 Feb 17.
9
Fluorescence microscopy.荧光显微镜术
Nat Methods. 2005 Dec;2(12):910-9. doi: 10.1038/nmeth817.

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