Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy

Tai, Dean; Tan, Nicholas Y.; Xu, Shuoyu; Kang, Chiang Huen; Chia, Ser Mien; Cheng, Chee Leong; Wee, Aileen; Wei, Chiang Li; Raja, Anju M.; Xiao, Guangfa; Chang, Shi Chuan; Rajapakse, Jagath C.; So, Peter T. C.; Tang, Huiqin; Chen, Chien Shing; Yu, Hanary

doi:10.1117/1.3183811

Cited by 82 publications

(84 citation statements)

References 46 publications

(68 reference statements)

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“…For example, Schanne-Klein used a thresholding process of image segmentation of collagen fibers for scoring fibrosis in a mouse model of kidney disease. 23 Similarly, Tai et al 24 applied Otsu's segmentation to score liver fibrosis in both mouse and human tissues. However, segmentation is most sensitive to brightness and the collagen area covered in the image and is not as sensitive to fibrillar alignment and organization, which are often more important markers of diseased states.…”

Section: Introductionmentioning

confidence: 99%

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

et al. 2014

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Abstract. Remodeling of the extracellular matrix has been implicated in ovarian cancer. To quantitate the remodeling, we implement a form of texture analysis to delineate the collagen fibrillar morphology observed in second harmonic generation microscopy images of human normal and high grade malignant ovarian tissues. In the learning stage, a dictionary of "textons"-frequently occurring texture features that are identified by measuring the image response to a filter bank of various shapes, sizes, and orientations-is created. By calculating a representative model based on the texton distribution for each tissue type using a training set of respective second harmonic generation images, we then perform classification between images of normal and high grade malignant ovarian tissues. By optimizing the number of textons and nearest neighbors, we achieved classification accuracy up to 97% based on the area under receiver operating characteristic curves (true positives versus false positives). The local analysis algorithm is a more general method to probe rapidly changing fibrillar morphologies than global analyses such as FFT. It is also more versatile than other texture approaches as the filter bank can be highly tailored to specific applications (e.g., different disease states) by creating customized libraries based on common image features. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

et al. 2014

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“…Sensitive and accurate quantitative assays of the degree and progress of fibrosis have been developed using SHG imaging (Tai et al 2009;Gailhouste et al 2010). These are much more precise than techniques based on staining, and are totally objective rather than relying on the judgment of a clinician.…”

Section: Collagenmentioning

confidence: 99%

Biological applications of second harmonic imaging

Cox

2011

Biophys Rev

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Second Harmonic Generation (SHG) microscopy dates back to 1974, but effective biological use of the technique has a history of barely 10 years. It is now widely used to image collagen in many different applications, and is becoming useful for imaging myosin and some polysaccharides. A separate line on research has focussed on SHG dyes, which can provide high-speed indication of membrane potential and are now in use in neurobiology. This review looks at the progress to date in these different fields.

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“…Recently, the nonlinear optical microscopy imaging technique has emerged as a powerful tool for label-free biomedical imaging in cells and tissue due to many attractive features such as three-dimensional sectioning capability at submicron scale resolutions, deep tissue penetration depth, and non-destructiveness with biochemical specificity [5][6][7][8][9][10], such as two-photon excitation fluorescence (TPEF), second-harmonic generation (SHG), and coherent anti-Stokes Raman scattering (CARS). TPEF signal can be used to image cell morphologies [5], since it comes from the fluorescence of intrinsic molecules in hepatocyte, such as fiber elastins, NAD(P)H, and FAD, and these molecules are related to the cell metabolism [11].…”

Section: Introductionmentioning

confidence: 99%

An integrated coherent anti-Stokes Raman scattering and multiphoton imaging technique for liver disease diagnosis

et al. 2012

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Liver steatosis and fibrosis are two prevalence liver diseases and may eventually develop into hepatocellular carcinoma (HCC) Due to their prevalence and severity, much work has been done to develop efficient diagnostic methods and therapies. Nonlinear optical microscopy has high sensitivity and chemical specificity for major biochemical compounds, making it a powerful tool for tissue imaging without staining. In this study, three nonlinear microscopy imaging modalities are applied to the study of liver diseases in a bile duct ligation rat modal. CARS shows the distributions of fats or lipids quantitatively across the tissue; SHG visualizes the collagens; and TPEF reveals the morphology of hepatic cells. The results clearly show the development of liver steatosis and fibrosis with time, and the hepatic fat and collagen fibrils are quantified. This study demonstrates the ability of multimodal nonlinear optical microscopy for liver disease diagnosis, and may provide new insights into the understanding of the mechanisms of steatosis/fibrosis transformations at the cellular and molecular levels.

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Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy

Cited by 82 publications

References 46 publications

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

Biological applications of second harmonic imaging

An integrated coherent anti-Stokes Raman scattering and multiphoton imaging technique for liver disease diagnosis

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