• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用 Stokes-Mueller 分解对健康和非黑色素瘤诱导的小鼠进行特征描述。

Characterization of healthy and nonmelanoma-induced mouse utilizing the Stokes-Mueller decomposition.

机构信息

International University-Vietnam National University HCMC, Department of Biomedical Engineering, Ho, Vietnam.

University of Medicine and Pharmacy, Department of Pharmacognosy, Ho Chi Minh City, Vietnam.

出版信息

J Biomed Opt. 2018 Dec;23(12):1-8. doi: 10.1117/1.JBO.23.12.125003.

DOI:10.1117/1.JBO.23.12.125003
PMID:30554502
Abstract

Skin cancer is one of the most common cancers, including melanoma and nonmelanoma cancer. Melanoma can be easily detected by the observation of abnormal moles, but nonmelanoma signs and symptoms are not apparent in the early stages. We use the Stokes-Mueller matrix decomposition method to detect nonmelanoma at the early stage by decomposing the characteristics of polarized light interacting with normal and cancerous tissues. With this decomposition method, we extract nine optical parameters from biological tissues, namely the LB orientation angle (α), the LB phase retardance (β), the CB optical rotation angle (γ), the LD orientation angle (θd), the linear dichroism (D), the circular dichroism (R), the degrees of linear depolarization (e1 and e2), the degree of circular depolarization (e3), and the depolarization index (Δ). The healthy skin and the induced nonmelanoma skin cancer of mice are analyzed and compared based on their optical parameters. We find distinctive ranges of values for normal skin tissue and nonmelanoma skin cancer, in which β and D in cancerous tissue are larger and nonmelanoma skin becomes less depolarized. This research creates an innovative solid foundation for the diagnosis of skin cancer in the future.

摘要

皮肤癌是最常见的癌症之一,包括黑色素瘤和非黑色素瘤癌症。黑色素瘤可以通过观察异常痣来轻易检测到,但非黑色素瘤在早期阶段的迹象和症状并不明显。我们使用 Stokes-Mueller 矩阵分解方法,通过分解与正常和癌变组织相互作用的偏振光的特性来检测早期的非黑色素瘤。使用这种分解方法,我们从生物组织中提取了九个光学参数,即 LB 取向角 (α)、LB 相位延迟 (β)、CB 光旋转角 (γ)、LD 取向角 (θd)、线性二色性 (D)、圆二色性 (R)、线偏振度 (e1 和 e2)、圆偏振度 (e3) 和去偏振指数 (Δ)。基于这些光学参数,我们对健康皮肤和诱导的小鼠非黑色素瘤皮肤癌进行了分析和比较。我们发现正常皮肤组织和非黑色素瘤皮肤癌之间有明显的数值范围,其中癌变组织中的β和 D 较大,而非黑色素瘤皮肤的去偏振程度较低。这项研究为未来皮肤癌的诊断奠定了创新的坚实基础。

相似文献

1
Characterization of healthy and nonmelanoma-induced mouse utilizing the Stokes-Mueller decomposition.利用 Stokes-Mueller 分解对健康和非黑色素瘤诱导的小鼠进行特征描述。
J Biomed Opt. 2018 Dec;23(12):1-8. doi: 10.1117/1.JBO.23.12.125003.
2
Analysis of tissue microstructure with Mueller microscopy: logarithmic decomposition and Monte Carlo modeling.用 Mueller 显微镜分析组织微观结构:对数分解和蒙特卡罗建模。
J Biomed Opt. 2020 Jan;25(1):1-11. doi: 10.1117/1.JBO.25.1.015002.
3
Degree of optical polarization as a tool for detecting melanoma: proof of principle.光学偏振程度作为检测黑色素瘤的工具:原理验证。
J Biomed Opt. 2018 Dec;23(12):1-7. doi: 10.1117/1.JBO.23.12.125004.
4
Characterization and classification of ductal carcinoma tissue using four channel based stokes-mueller polarimetry and machine learning.基于四通道斯托克斯-缪勒偏振术和机器学习对导管癌组织的特征化和分类。
Lasers Med Sci. 2024 May 4;39(1):123. doi: 10.1007/s10103-024-04056-5.
5
Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm.利用随机森林算法对人类皮肤癌进行分类的 Mueller 矩阵元素特征描述。
J Biomed Opt. 2021 Jul;26(7). doi: 10.1117/1.JBO.26.7.075001.
6
Assessment of tissue polarimetric properties using Stokes polarimetric imaging with circularly polarized illumination.利用圆偏振光照明的 Stokes 偏振成像评估组织偏振特性。
J Biophotonics. 2018 Apr;11(4):e201700139. doi: 10.1002/jbio.201700139. Epub 2018 Jan 17.
7
Polar decomposition of 3 x 3 Mueller matrix: a tool for quantitative tissue polarimetry.3×3穆勒矩阵的极分解:一种用于定量组织偏振测定的工具。
Opt Express. 2006 Oct 2;14(20):9324-37. doi: 10.1364/oe.14.009324.
8
Optical parameters of human blood plasma, collagen, and calfskin based on the Stokes-Mueller technique.基于斯托克斯-米勒技术的人血浆、胶原蛋白和小牛皮的光学参数。
Appl Opt. 2018 Jun 1;57(16):4353-4359. doi: 10.1364/AO.57.004353.
9
Mueller matrix decomposition for extraction of individual polarization parameters from complex turbid media exhibiting multiple scattering, optical activity, and linear birefringence.用于从表现出多重散射、旋光性和线性双折射的复杂浑浊介质中提取单个偏振参数的穆勒矩阵分解。
J Biomed Opt. 2008 Jul-Aug;13(4):044036. doi: 10.1117/1.2960934.
10
Comparative study of differential matrix and extended polar decomposition formalisms for polarimetric characterization of complex tissue-like turbid media.用于复杂组织状混浊介质偏振特性描述的差分矩阵和扩展极分解形式体系的比较研究。
J Biomed Opt. 2012 Oct;17(10):105006. doi: 10.1117/1.JBO.17.10.105006.

引用本文的文献

1
Full-Automatic High-Efficiency Mueller Matrix Microscopy Imaging for Tissue Microarray Inspection.全自动高效 Mueller 矩阵显微镜成像技术用于组织微阵列检测。
Sensors (Basel). 2024 Jul 20;24(14):4703. doi: 10.3390/s24144703.
2
Analysis of polarization features of human breast cancer tissue by Mueller matrix visualization.基于 Mueller 矩阵可视化分析人乳腺癌组织的偏光特征。
J Biomed Opt. 2024 May;29(5):052917. doi: 10.1117/1.JBO.29.5.052917. Epub 2024 Jan 13.
3
Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm.
利用随机森林算法对人类皮肤癌进行分类的 Mueller 矩阵元素特征描述。
J Biomed Opt. 2021 Jul;26(7). doi: 10.1117/1.JBO.26.7.075001.