Spectral correlation analysis of amyloid ß plaque inhomogeneity from double staining experiments.

A spectral correlation algorithm for the analysis of hyperspectral fluorescence images is proposed by Ellingsen et al. [J. Biomed. Opt. 18, 020501 (2013)]. Here, it is applied to the analysis of double-stained Aß amyloid plaques being related to the Alzheimer's disease (AD). Sections of APP/PS1 AD mice model brains are double stained with luminescent-conjugated oligothiophenes, known to bind to amyloid protein deposits. Hyperspectral fluorescence images of the brain sections are recorded and by applying the correlation algorithm the spectral inhomogeneity of the double-stained samples is mapped in terms of radial distribution and spectral content. To further investigate the progression of Aß amyloid plaque formation, 19 AD mice of different ages up to 23 months are characterized, enabling a statistical analysis of the plaque heterogeneity. In accordance with recent findings by Nyström et al. [ACS Chem. Biol. 8, 1128-1133 (2013)], the spectral distribution within Aß plaques is found to vary with age throughout the lifespan of the mouse. With the new correlation algorithm, it is possible to quantify the spectral abundance of the two stains depending on the relative distance from the plaque center and mouse age. Thus, we demonstrate the use of the correlation analysis approach in double-staining experiments and how it is possible to relate these to structural/spectral changes in biological samples.

Hyperspectral analysis using the correlation between image and reference.

We present the use of correlation analysis on spectral data in order to quantify the amount of a given spectrum present with respect to a reference spectrum. The method is shown to be useful in analyzing hyperspectral fluorescence images. It is unhindered by the linear relationship assumed in linear spectral unmixing, and in addition, it is shown to be robust with respect to noise.

Quantitative 3-D colocalization analysis as a tool to study the intracellular trafficking and dissociation of pDNA-chitosan polyplexes.

Multichannel microscopy is frequently used to study intermolecular interactions and spatial relationships between biomolecules and organelles or vesicles in cells. Based on multichannel images, quantitative colocalization analysis can provide valuable information about cellular internalization, vesicular transport, and the intracellular kinetics and location of biomolecules. However, such analyses should be performed carefully, because quantitative colocalization parameters have different interpretations and can be highly affected by image quality. We use quantitative three-dimensional colocalization analysis of deconvolved and chromatic-registered confocal images to study the dissociation of double-labeled pDNA-chitosan polyplexes in HeLa cells and their colocalization with early endosomes. Two chitosans that form polyplexes with highly different transfection efficacies are compared. Pearson's correlation coefficient, Manders' colocalization coefficients, and the intensity correlation quotient are estimated to determine the intracellular localization of polyplexes, free pDNA, and free chitosans. Differences are observed in the amount of uptake, and in the intracellular pathways and rates of dissociation for the two chitosans. The results support previous findings that polyplexes formed by self-branched, glycosylated chitosan oligomers are more favorable for cellular uptake and intracellular trafficking to the nucleus compared with polyplexes formed by linear chitosans.

Characterization of tumor microvascular structure and permeability: comparison between magnetic resonance imaging and intravital confocal imaging.

Solid tumors are characterized by abnormal blood vessel organization, structure, and function. These abnormalities give rise to enhanced vascular permeability and may predict therapeutic responses. The permeability and architecture of the microvasculature in human osteosarcoma tumors growing in dorsal window chambers in athymic mice were measured by confocal laser scanning microscopy (CLSM) and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Dextran (40 kDa) and Gadomer were used as molecular tracers for CLSM and DCE-MRI, respectively. A significant correlation was found between permeability indicators. The extravasation rate K(i) as measured by CLSM correlated positively with DCE-MRI parameters, such as the volume transfer constant K(trans) and the initial slope of the contrast agent concentration-time curve. This demonstrates that these two techniques give complementary information. Extravasation was further related to microvascular structure and was found to correlate with the fractal dimension and vascular density. The structural parameter values that were obtained from CLSM images were higher for abnormal tumor vasculature than for normal vessels.

Macromolecular diffusion in the extracellular matrix measured by fluorescence correlation spectroscopy.

Diffusion of therapeutic macromolecules through the extracellular matrix of tumor tissue is a crucial step in drug delivery. We use fluorescence correlation spectroscopy (FCS) to measure diffusion of IgG (150 kDa) and dextrans (155 kDa and 2 MDa) in solution, 5% gelatin hydrogel, and multicellular spheroids. Gel and spheroids are used as model systems for the extracellular matrix. The diffusion depends on the complexity of the environment, as well as on the size and structural shape of the diffusing molecules. The results based on one-photon FCS are in good agreement with diffusion coefficients obtained with two-photon fluorescence recovery after photobleaching (FRAP) using the same microscope (Zeiss LSM510 META/Confocor2). However, FCS reveals anomalous or multicomponent diffusion in gel and spheroids, which are not resolvable with FRAP. This study demonstrates that one-photon FCS can be used to study the extracellular transport of macromolecules in tumor tissue, and that FCS provides additional information about diffusion properties compared to FRAP.