Spatially varying regularization based on spectrally resolved fluorescence emission in fluorescence molecular tomography

Axelsson, Johan; Svensson, Johannes; Andersson‐Engels, Stefan

doi:10.1364/oe.15.013574

Cited by 21 publications

(17 citation statements)

References 21 publications

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“…The quantum yield was scaled to the wavelength range between 695 and 705 nm according to Eq. (16) in [16]. In the larger tank the fluorophore was mixed with the bulk solution in a concentration retrieving a fluorophore absorption coefficient of af = 3.9ϫ 10 −3 mm −1 .…”

Section: ͑4͒mentioning

confidence: 99%

In vivo photosensitizer tomography inside the human prostate

2009

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Section: ͑4͒mentioning

confidence: 99%

In vivo photosensitizer tomography inside the human prostate

2009

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“…Recent studies have also reported that plasma visfatin level was significantly increased from 29 ng/ml in normal controls to 41 ng/ml in a large population of patients with CKD [29]. In contrast to adiponectin, the higher the plasma levels of visfatin, the more severe the CKD, and a higher plasma level of visfatin predicts a higher mortality rate in these patients of CKD.…”

Section: Introductionmentioning

confidence: 99%

Visfatin-induced lipid raft redox signaling platforms and dysfunction in glomerular endothelial cells

Boini

Zhang

Xia

et al. 2010

Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biolog

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Adipokines have been reported to contribute to glomerular injury during obesity or diabetes mellitus. However, the mechanisms mediating the actions of various adipokines on the kidney remained elusive. The present study was performed to determine whether acid sphingomyelinase (ASM)-ceramide associated lipid raft (LR) clustering is involved in local oxidative stress in glomerular endothelial cells (GECs) induced by adipokines such as visfatin and adiponectin. Using confocal microscopy, visfatin but not adiponectin was found to increase LRs clustering in the membrane of GECs in a dose and time dependent manner. Upon visfatin stimulation ASMase activity was increased, and an aggregation of ASMase product, ceramide and NADPH oxidase subunits, gp91 phox and p47 phox were observed in the LR clusters, forming a LR redox signaling platform. The formation of this signaling platform was blocked by prior treatment with LR disruptor filipin, ASMase inhibitor amitriptyline, ASMase siRNA, gp91 phox siRNA and adiponectin. Corresponding to LR clustering and aggregation of NADPH subunits, superoxide (O 2•− ) production was significantly increased (2.7 folds) upon visfatin stimulation, as measured by electron spin resonance (ESR) spectrometry. Functionally, visfatin significantly increased the permeability of GEC layer in culture and disrupted microtubular networks, which were blocked by inhibition of LR redox signaling platform formation. In conclusion, the injurious effect of visfatin, but not adiponectin on the glomerular endothelium is associated with the formation of LR redox signaling platforms via LR clustering, which produces local oxidative stress resulting in the disruption of microtubular networks in GECs and increases the glomerular permeability.

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“…Besides the spectrally adaptive property discussed above, the spatially dependent property in different regions remains a critical problem. We use a simple spatial information extractor dj called difference curvature [24][25][26] to distinguish edges from ramps in the presence of noise,…”

Section: Spectral-spatial Adaptive Unidirectional Variation Modelmentioning

confidence: 99%

Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation

Zhou

Wang

Huo

et al. 2016

Journal of the Optical Society of Korea

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Hyperspectral images are often contaminated with stripe noise, which severely degrades the imaging quality and the precision of the subsequent processing. In this paper, a variational model is proposed by employing spectral-spatial adaptive unidirectional variation and a sparse representation. Unlike traditional methods, we exploit the spectral correction and remove stripes in different bands and different regions adaptively, instead of selecting parameters band by band. The regularization strength adapts to the spectrally varying stripe intensities and the spatially varying texture information. Spectral correlation is exploited via dictionary learning in the sparse representation framework to prevent spectral distortion. Moreover, the minimization problem, which contains two unsmooth and inseparable l1-norm terms, is optimized by the split Bregman approach. Experimental results, on datasets from several imaging systems, demonstrate that the proposed method can remove stripe noise effectively and adaptively, as well as preserve original detail information.

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Spatially varying regularization based on spectrally resolved fluorescence emission in fluorescence molecular tomography

Cited by 21 publications

References 21 publications

In vivo photosensitizer tomography inside the human prostate

In vivo photosensitizer tomography inside the human prostate

Visfatin-induced lipid raft redox signaling platforms and dysfunction in glomerular endothelial cells

Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation

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