A non-invasive method for evaluating changes in subcutaneous fat layer of mice induced by diglycerides and their compositions

Jiawei Zheng; Jinqiao Zhang; Jianwen Zhou; Mengjie Zhang; Jiapeng Fu; Jiawei Rong; Xiao Zhou; Zhifang Li; Wangbiao Li

doi:10.1117/12.3057373

10 January 2025 A non-invasive method for evaluating changes in subcutaneous fat layer of mice induced by diglycerides and their compositions

Jiawei Zheng, Jinqiao Zhang, Jianwen Zhou, Mengjie Zhang, Jiapeng Fu, Jiawei Rong, Xiao Zhou, Zhifang Li, Wangbiao Li

Author Affiliations +

Proceedings Volume 13507, Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024); 135070P (2025) https://doi.org/10.1117/12.3057373
Event: Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024), 2024, Shaya, China

Abstract

Optical Coherence Tomography (OCT) enables the non-invasive acquisition of high resolution three-dimensional cross-sectional images at a micrometer scale for (epi-)dermis layer and subcutaneous fat layer of mouse skin. In this paper, we present a method to predict individual weight loss based on a deep-learning algorithm for the automatic segmentation of several layers of mouse skin in OCT image using Convolutional Neural Network (CNN). Our results demonstrate that individual weight loss is related to the subcutaneious fat layer of mice. Then Diacylglycerol, composition containing Diacylglycerol and Xylooligosaccharide, and composition containing Diacylglycerol, medium chain triglycerides, Medium- and long-chain triacylglycerol oil, and Xylooligosaccharide have a small positive effect on weight loss, since that the subcutaneious fat layer become thinning. The potential suggests the subcutaneous fat layer of mice based on OCT combined with CNN could be used as a method to evaluate the weight loss. It was shown that composition containing Diacylglycerol, medium chain triglycerides, Medium- and long-chain triacylglycerol oil, and Xylooligosaccharide had the greatest effect on the adipose layer, which resulted in the greatest degree of adiposity thinning.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiawei Zheng, Jinqiao Zhang, Jianwen Zhou, Mengjie Zhang, Jiapeng Fu, Jiawei Rong, Xiao Zhou, Zhifang Li, and Wangbiao Li "A non-invasive method for evaluating changes in subcutaneous fat layer of mice induced by diglycerides and their compositions", Proc. SPIE 13507, Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024), 135070P (10 January 2025); https://doi.org/10.1117/12.3057373

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KEYWORDS

Optical coherence tomography

Image segmentation

Body composition

Skin

Education and training

Convolutional neural networks

Mixtures

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