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通过时间解混多光谱光声断层扫描实现浑浊组织中的光通量归一化。

Light fluence normalization in turbid tissues via temporally unmixed multispectral optoacoustic tomography.

作者信息

Deán-Ben X Luís, Stiel Andre C, Jiang Yuanyuan, Ntziachristos Vasilis, Westmeyer Gil G, Razansky Daniel

出版信息

Opt Lett. 2015 Oct 15;40(20):4691-4. doi: 10.1364/OL.40.004691.

Abstract

Discerning the accurate distribution of chromophores and biomarkers by means of optoacoustic imaging is commonly challenged by the highly heterogeneous excitation light patterns resulting from strong spatial variations of tissue scattering and absorption. Here we used the light-fluence dependent switching kinetics of reversibly switchable fluorescent proteins (RSFPs), in combination with real-time acquisition of volumetric multi-spectral optoacoustic data to correct for the light fluence distribution deep in scattering media. The new approach allows for dynamic fluence correction in time-resolved imaging, e.g., of moving organs, and can be extended to work with a large palette of available synthetic and genetically encoded photochromic substances for multiplexed wavelength-specific fluence normalization.

摘要

通过光声成像识别发色团和生物标志物的准确分布通常受到组织散射和吸收的强烈空间变化所导致的高度异质激发光模式的挑战。在这里,我们利用可逆开关荧光蛋白(RSFP)的光通量依赖性开关动力学,结合体积多光谱光声数据的实时采集,来校正散射介质深处的光通量分布。这种新方法允许在时间分辨成像中进行动态通量校正,例如对移动器官的成像,并且可以扩展到与大量可用的合成和基因编码光致变色物质一起使用,以进行多波长特异性通量归一化。

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