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用于体内荧光成像的自体荧光去除、多路复用及自动分析方法。

Autofluorescence removal, multiplexing, and automated analysis methods for in-vivo fluorescence imaging.

作者信息

Mansfield James R, Gossage Kirk W, Hoyt Clifford C, Levenson Richard M

机构信息

Cambridge Research and Instrumentation, Inc., 35-B Cabot Road, Woburn, Massachusetts 01801, USA.

出版信息

J Biomed Opt. 2005 Jul-Aug;10(4):41207. doi: 10.1117/1.2032458.

Abstract

The ability to image and quantitate fluorescently labeled markers in vivo has generally been limited by autofluorescence of the tissue. Skin, in particular, has a strong autofluorescence signal, particularly when excited in the blue or green wavelengths. Fluorescence labels with emission wavelengths in the near-infrared are more amenable to deep-tissue imaging, because both scattering and autofluorescence are reduced as wavelengths are increased, but even in these spectral regions, autofluorescence can still limit sensitivity. Multispectral imaging (MSI), however, can remove the signal degradation caused by autofluorescence while adding enhanced multiplexing capabilities. While the availability of spectral "libraries" makes multispectral analysis routine for well-characterized samples, new software tools have been developed that greatly simplify the application of MSI to novel specimens.

摘要

在体内对荧光标记物进行成像和定量的能力通常受到组织自身荧光的限制。特别是皮肤,具有很强的自身荧光信号,尤其是在蓝光或绿光波长激发时。发射波长在近红外区域的荧光标记更适合用于深部组织成像,因为随着波长增加,散射和自身荧光都会减少,但即使在这些光谱区域,自身荧光仍然会限制灵敏度。然而,多光谱成像(MSI)可以消除由自身荧光引起的信号降解,同时增加增强的多路复用能力。虽然光谱“库”的可用性使多光谱分析对于特征明确的样本成为常规操作,但已经开发出了新的软件工具,极大地简化了MSI在新样本中的应用。

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