Nonlinear optical microscopy in decoding arterial diseases

Ko, Alex C.‐T.; Ridsdale, Andrew; Mostaço-Guidolin, Leila B.; Major, Arkady; Stolow, Albert; Sowa, Michael G.

doi:10.1007/s12551-012-0077-8

Cited by 11 publications

(9 citation statements)

References 61 publications

(66 reference statements)

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“…In previous studies, it has been documented that nonlinear optical imaging microscopy employing TPEF,SHG and coherent anti-Stokes Raman scattering (CARS) could be used to visualize extracellular morphology characteristic of atherosclerotic plaques54555657585960. Collagen remodeling throughout the progression of atherosclerosis is dynamic, complex and multi-factorial.…”

Section: Resultsmentioning

confidence: 99%

Collagen morphology and texture analysis: from statistics to classification

Mostaço-Guidolin

Wang

et al. 2013

Sci Rep

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In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics (FOS) and second-order statistics such as gray level co-occurrence matrix (GLCM) was explored to extract second-harmonic generation (SHG) image features that are associated with the structural and biochemical changes of tissue collagen networks. Based on these extracted quantitative parameters, multi-group classification of SHG images was performed. With combined FOS and GLCM texture values, we achieved reliable classification of SHG collagen images acquired from atherosclerosis arteries with >90% accuracy, sensitivity and specificity. The proposed methodology can be applied to a wide range of conditions involving collagen re-modeling, such as in skin disorders, different types of fibrosis and muscular-skeletal diseases affecting ligaments and cartilage.

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Section: Resultsmentioning

confidence: 99%

Collagen morphology and texture analysis: from statistics to classification

Mostaço-Guidolin

Wang

et al. 2013

Sci Rep

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130

141

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“…Among many possible applications of NLOM in biomedicine, several groups have been focusing on the application of NLOM to better understanding of cardiovascular diseases (9,14,15,18,47,50). Lilledahl et al (20,21) studied collagen fiber accumulation in the fibrous cap of atherosclerotic plaque through two-photon emission fluorescence (TPEF) and secondharmonic generation (SHG) images.…”

Section: Introductionmentioning

confidence: 99%

Fractal dimension and directional analysis of elastic and collagen fiber arrangement in unsectioned arterial tissues affected by atherosclerosis and aging

Mostaço-Guidolin

Smith

Hewko

et al. 2019

Journal of Applied Physiology

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Structural proteins like collagen and elastin are major constituents of the extracellular matrix (ECM). ECM degradation and remodeling in diseases significantly impact the microorganization of these structural proteins. Therefore, tracking the changes of collagen and elastin fiber morphological features within ECM impacted by disease progression could provide valuable insight into pathological processes such as tissue fibrosis and atherosclerosis. Benefiting from its intrinsic high-resolution imaging power and superior biochemical specificity, nonlinear optical microscopy (NLOM) is capable of providing information critical to the understanding of ECM remodeling. In this study, alterations of structural fibrillar proteins such as collagen and elastin in arteries excised from atherosclerotic rabbits were assessed by the combination of NLOM images and textural analysis methods such as fractal dimension (FD) and directional analysis (DA). FD and DA were tested for their performance in tracking the changes of extracellular elastin and fibrillar collagen remodeling resulting from atherosclerosis progression/aging. Although other methods of image analysis to study the organization of elastin and collagen structures have been reported, the simplified calculations of FD and DA presented in this work prove that they are viable strategies for extracting and analyzing fiber-related morphology from disease-impacted tissues. Furthermore, this study also demonstrates the potential utility of FD and DA in studying ECM remodeling caused by other pathological processes such as respiratory diseases, several skin conditions, or even cancer. NEW & NOTEWORTHY Textural analyses such as fractal dimension (FD) and directional analysis (DA) are straightforward and computationally viable strategies to extract fiber-related morphological data from optical images. Therefore, objective, quantitative, and automated characterization of protein fiber morphology in extracellular matrix can be realized by using these methods in combination with digital imaging techniques such as nonlinear optical microscopy (NLOM), a highly effective visualization tool for fibrillar collagen and elastic network. Combining FD and DA with NLOM is an innovative approach to track alterations of structural fibrillar proteins. The results illustrated in this study not only prove the effectiveness of FD and DA methods in extracellular protein characterization but also demonstrate their potential value in clinical and basic biomedical research where protein microstructure characterization is critical.

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“…TPEF microscopy exploits intrinsic cellular fluorescence originating from endogenous fluorophores like mitochondrial NADH and flavoproteins 14 , 15 . Moreover, two-photon excited autofluorescence of extracellular elastin is important for studying vessel wall remodelling 16 , 17 . SHG visualizes highly ordered tissue structures, which are non-centrosymmetric like type I collagen fibers 18 , 19 .…”

Section: Introductionmentioning

confidence: 99%

Label-free multiphoton microscopy as a tool to investigate alterations of cerebral aneurysms

Sehm

Uckermann

Galli

et al. 2020

Sci Rep

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Cerebral aneurysms are abnormal focal dilatations of arterial vessel walls with pathological vessel structure alterations. Sudden rupture can lead to a subarachnoid hemorrhage, which is associated with a high mortality. Therefore, the origin of cerebral aneurysms as well as the progression to the point of rupture needs to be further investigated. Label-free multimodal multiphoton microscopy (MPM) was performed on resected human aneurysm domes and integrated three modalities: coherent anti-Stokes Raman scattering, endogenous two-photon fluorescence and second harmonic generation. We showed that MPM is a completely label-free and real-time powerful tool to detect pathognomonic histopathological changes in aneurysms, e.g. thickening and thinning of vessel walls, intimal hyperplasia, intra-wall haemorrhage, calcification as well as atherosclerotic changes. In particular, the loss or fragmentation of elastin as well as fibromatous wall remodelling appeared very distinct. Remarkably, cholesterol and lipid deposits were clearly visible in the multiphoton images. MPM provides morphological and biochemical information that are crucial for understanding the mechanisms of aneurysm formation and progression.

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Nonlinear optical microscopy in decoding arterial diseases

Cited by 11 publications

References 61 publications

Collagen morphology and texture analysis: from statistics to classification

Collagen morphology and texture analysis: from statistics to classification

Fractal dimension and directional analysis of elastic and collagen fiber arrangement in unsectioned arterial tissues affected by atherosclerosis and aging

Label-free multiphoton microscopy as a tool to investigate alterations of cerebral aneurysms

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