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

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...

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Veröffentlicht in:Journal of biomedical optics 2005-07, Vol.10 (4), p.41207-1/041207-9
Hauptverfasser: Mansfield, James R, Gossage, Kirk W, Hoyt, Clifford C, Levenson, Richard M
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creator Mansfield, James R
Gossage, Kirk W
Hoyt, Clifford C
Levenson, Richard M
description 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.
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subjects Algorithms
Animals
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Luminescent Proteins - metabolism
Male
Mice
Microscopy, Fluorescence - instrumentation
Microscopy, Fluorescence - methods
Neoplasm Proteins - metabolism
Phantoms, Imaging
Prostatic Neoplasms - metabolism
Prostatic Neoplasms - pathology
Quantum Dots
Reproducibility of Results
Sensitivity and Specificity
title Autofluorescence removal, multiplexing, and automated analysis methods for in-vivo fluorescence imaging
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