Literature DB >> 18172335

Multiplexing with multispectral imaging: from mice to microscopy.

Richard M Levenson1, David T Lynch, Hisataka Kobayashi, Joseph M Backer, Marina V Backer.   

Abstract

Increasing sophistication in the design and application of biological models as well as the advent of novel fluorescent probes have led to new demands on molecular imaging systems to deliver enhanced sensitivity, reliable quantitation, and the ability to resolve multiple simultaneous signals. Sensitivity is limited, especially in the visible spectral range, by the presence of ubiquitous autofluorescence signals (mostly arising from the skin and gut), which need to be separated from those of targeted fluorophores. Fluorescence-based imaging is also affected by absorbing and scattering properties of tissue in both the visible and to a lesser extent the near-infrared (NIR) regions. However, the small size of typical animal models (usually mice) often permits the detection of enough light arising even from relatively deep locations to allow the capture of signals with an acceptable signal-to-noise ratio. Multispectral imaging, through its ability to separate autofluorescence from label fluorescence, can increase sensitivity as much as 300 times compared to conventional approaches, and concomitantly improve quantitative accuracy. In the NIR region, autofluorescence, while still significant, poses less of a problem. However, the task of disentangling signals from multiple fluorophores remains. Multispectral imaging allows the separation of five or more fluorophores, with each signal quantitated and visualized separately. Preclinical small animal imaging is often accompanied by microscopic analysis, both before and after the in vivo phase. This can involve tissue culture manipulations and/or histological examination of fixed or frozen tissue. Due to the same advantages in sensitivity, quantitation, and multiplexing, microscopy-based multispectral techniques form an excellent complement to in vivo imaging.

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Year:  2008        PMID: 18172335     DOI: 10.1093/ilar.49.1.78

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  28 in total

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