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Shuangmu Zhuo

Researcher at Jimei University

Publications -  207
Citations -  2624

Shuangmu Zhuo is an academic researcher from Jimei University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 26, co-authored 185 publications receiving 2184 citations. Previous affiliations of Shuangmu Zhuo include Singapore–MIT alliance & South China Normal University.

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Multimode nonlinear optical imaging of the dermis in ex vivo human skin based on the combination of multichannel mode and Lambda mode.

TL;DR: The results suggest that the technique has the potential to provide more accurate information for determining tissue physiological and pathological states and can offer a sensitive tool for obtaining quantitative tissue structural and biochemical information.
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Transplantation with survivin-engineered mesenchymal stem cells results in better prognosis in a rat model of myocardial infarction.

TL;DR: To investigate the effect of survivin (SVV)‐engineered mesenchymal stem cells (MSCs) on post‐infarction cardiac performance and remodelling in rats, survivin-engineered MSCs are used as a ‘spatially aggregating agent’.
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Quantitatively linking collagen alteration and epithelial tumor progression by second harmonic generation microscopy

TL;DR: It was found that SHG microscopy can provide quantitative features to effectively evaluate epithelial tumor progression, and to locate tumor and determine the margin of tumor regions.
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Nonlinear spectral imaging of human hypertrophic scar based on two-photon excited fluorescence and second-harmonic generation.

TL;DR: A noninvasive method using microscopy and spectroscopy for analysing the morphology of collagen and elastin and their biochemical variations in skin tissue will enable better understanding of the pathophysiology of hypertrophic scars and facilitate improved clinical management and treatment of this disease.
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Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram.

TL;DR: Wang et al. as discussed by the authors proposed a collagen signature, which is composed of multiple collagen features in the tumour microenvironment of the serosa derived from multiphoton imaging, to describe the extent of collagen alterations.