基于正交偏振门控光学相干断层扫描的斑马鱼畸形卵黄囊的形态特征。

Morphological characteristics of zebrafish's yolk sac for malformation based on orthogonal-polarization-gating optical coherence tomography.

机构信息

Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian, China.

College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian, China.

出版信息

J Biophotonics. 2022 Oct;15(10):e202200098. doi: 10.1002/jbio.202200098. Epub 2022 Jun 28.

DOI:10.1002/jbio.202200098

PMID:35701385

Abstract

In this study, an automatic algorithm combining an ellipsoid approximation and U-net has been presented for the characterization of a zebrafish's yolk sac. The polarization-difference-balanced-detection image of zebrafish was obtained based on orthogonal-polarization-gating optical coherence tomography and used to segment the yolk sac region. And ellipsoid can approximate the shape of the three-dimensional yolk sac, and the multiple parameters of volume and the three principal axes (k, l and m) can be used to quantify the yolk sac. In addition, the multiple parameters of two principal axes (l and m) and volume can distinguish the malformation from the normal controlled group. Finally, the volume malformation of the yolk sac calculated by the proposed algorithm ranges from 16.55% to 46.05%. Thus, the degree of malformation can be applied for toxicity analysis. And this method provides a potential application for an accurate judgment index for biotoxicological testing.

摘要

本研究提出了一种基于椭圆拟合和 U-net 的自动算法，用于对斑马鱼卵黄囊进行特征描述。基于正交偏振门控光学相干断层扫描技术获得了斑马鱼的偏振差分平衡检测图像，用于分割卵黄囊区域。椭圆可以近似三维卵黄囊的形状，通过体积和三个主轴（k、l 和 m）的多个参数可对卵黄囊进行量化。此外，两个主轴（l 和 m）和体积的多个参数可区分畸形与正常对照组。最后，通过提出的算法计算得到的卵黄囊体积畸形范围为 16.55%至 46.05%。因此，畸形程度可用于毒性分析。该方法为生物毒性测试提供了一个准确的判断指标的潜在应用。