Spectral Imaging and Pathology: Seeing More

Levenson, Richard M.

doi:10.1309/krnfwqqeuplql76l

Cited by 39 publications

(32 citation statements)

References 19 publications

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“…Tumor contrast was observed as early as 20 min after QD705-RGD injection and the fluorescence intensity in subcutaneous U87MG tumors reached maximum at 6 h p.i. Spectral imaging techniques were used to better interpret the NIRF imaging result since significant background signal is usually observed for in vivo NIRF imaging because of tissue autofluorescence [91,92]. The large size of QD705-RGD with~20 nm in diameter prevented extravasation, which was confirmed by ex vivo immunofluorescence staining.…”

Section: Optical Imaging Of αVβ3 Expressionmentioning

confidence: 99%

Imaging of integrin αvβ3 expression

Beer

Schwaiger

2008

Cancer Metastasis Rev

201

163

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The integrin alphavbeta3 plays an important role in angiogenesis and tumor metastasis. It is expressed on activated endothelial cells as well as some tumor cells. Therefore it is a promising imaging target as a potential surrogate parameter of angiogenic activity. Molecular imaging of alphavbeta3 expression could potentially facilitate response evaluation of antiangiogenic drugs (e. g. bevacizumab) or aid in selecting and monitoring patients receiving humanized monoclonal antibody therapies directed against alphavbeta3 (EMD121974). Therefore many different approaches for imaging of alphavbeta3 expression have been studied in the recent years, including positron emission tomography (PET), single photon emission tomography (SPECT), magnetic resonance imaging (MRI), optical imaging and ultrasound using targeted microbubbles. While optical imaging techniques lend themselves for preclinical studies, PET and SPECT using the alphavbeta3 specific tracers [(18)F]galacto-RGD and [(99m)Tc]NC100692 are the only techniques up to now which have been successfully used in patients. The various advantages and disadvantages of several imaging techniques will be discussed in this article.

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Section: Optical Imaging Of αVβ3 Expressionmentioning

confidence: 99%

Imaging of integrin αvβ3 expression

Beer

Schwaiger

2008

Cancer Metastasis Rev

201

163

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“…However, the multistep, enzyme-based immunoperoxidase stain is inherently not stoichiometric. Attempts to demonstrate the degree to which immunoperoxidase stains can 'measure' antigens in tissue using experimental systems have shown just how susceptible the optically dense reaction product is to the conditions of the method, that is, concentrations of reagents and temperature of reaction [71] . One can imagine that the intensity of light emitted by direct QD-antibody conjugates bound to the antigens in tissue might quantify antigens on a per cell basis.…”

Section: Application Of Quantum Dots For In Situ Biomarker Detection mentioning

confidence: 99%

“…Recent research has shown that these problems could be solved by using a hyperspectral imaging (or spectral imaging) approach [71,89] . Hyperspectral imaging has been widely used in remote sensing and is a relatively new technique for molecular diagnostic and biomarker fingerprinting.…”

Section: Expert Opinionmentioning

confidence: 99%

“…This process is repeated for each pure spectral component (fluorophores and autofluorescent tissue) to generate a spectrum library, which is then used to deconvolute mixed colors into separate channels (a mathematical process known as principal component analysis). Thus, spectral imaging allows rapid detection and analysis of small but meaningful spectral (and hence biomolecular) differences and removal of autofluorescent background [71,89] . The combination of the QD optical nanoprobe and spectral imaging will certainly enhance their respective advantages and capabilities [68] .…”

Section: Expert Opinionmentioning

confidence: 99%

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Fluorescent nanocrystal quantum dots as medical diagnostic tools

Sukhanova

Nabiev

2008

Expert Opinion on Medical Diagnostics

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The last generation of fluorescent QDs has far-reaching potential for high-resolution cellular imaging, long-term in vivo observation of cell and molecular trafficking, drug delivery and diagnostics. The most important findings and challenges of the next few years will include optimized 'anatomy' of QDs ensuring their optimal size and stability, solving of short-term and long-term toxicity issues in QD in vivo applications and development of QD-adapted imaging systems able to explore in full QD advantages over organic dyes.

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“…The concept of multispectral imaging (MSI) has been widely used in the field of remote sensing. Recently, due to the advances in filter technology, the concept has been extended to the medical field, leading to the development of multispectral cameras for pathological imaging [3]. A multispectral image can be considered as an image cube (also referred to as a λ-stack), where the third dimension comprises the spectral power distribution at a set of narrow wavelength bands.…”

Section: Introductionmentioning

confidence: 99%

A comparative performance study characterizing breast tissue microarrays using standard RGB and multispectral imaging

Qi¹,

Cukierski²,

Foran³

2010

SPIE Proceedings

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The lack of clear consensus over the utility of multispectral imaging (MSI) for bright-field imaging prompted our team to investigate the benefit of using MSI on breast tissue microarrays (TMA). We have conducted performance studies to compare MSI with standard bright-field imaging in hematoxylin stained breast tissue. The methodology has three components. The first extracts a region of interest using adaptive thresholding and morphological processing. The second performs texture feature extraction from a local binary pattern within each spectral channel and compared to features of co-occurrence matrix and texture feature coding in third component. The third component performs feature selection and classification. For each spectrum, exhaustive feature selection was used to search for the combination of features that yields the best classification accuracy. AdaBoost with a linear perceptron least-square classifier was applied. The spectra carrying the greatest discriminatory power were automatically chosen and a majority vote was used to make the final classification. 92 breast TMA discs were included in the study. Sensitivity of 0.96 and specificity of 0.89 were achieved on the multispectral data, compared with sensitivity of 0.83 and specificity of 0.85 on RGB data. MSI consistently achieved better classification results than those obtained using standard RGB images. While the benefits of MSI for unmixing multi-stained specimens are well documented, this study demonstrated statistically significant improvements in the automated analysis of single stained bright-field images.

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Spectral Imaging and Pathology: Seeing More

Cited by 39 publications

References 19 publications

Imaging of integrin αvβ3 expression

Imaging of integrin αvβ3 expression

Fluorescent nanocrystal quantum dots as medical diagnostic tools

A comparative performance study characterizing breast tissue microarrays using standard RGB and multispectral imaging

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