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Updated: Jun 13, 2025

Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping

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Published on: December 8, 2015

一个显微镜的设置和捕获超光谱和RGB histopathological成像数据库的方法.

Gonzalo Rosa-Olmeda¹, Manuel Villa¹, Sara Hiller-Vallina^2,3

¹Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid, 28031 Madrid, Spain.

Sensors (Basel, Switzerland)

|September 14, 2024

概括

这项研究引入了一种结合RGB和高光谱成像的自动化系统,用于数字化组织病理样本. 与手工方法相比,这种先进的方法显著减少了样本采集和处理时间.

关键词:

在RGB成像中使用RGB成像.生物医学成像学生物医学成像学数字组织学数字组织学数字显微镜数字显微镜数字病理学数字病理学超光谱的生物医学.超光谱成像技术的使用.显微镜显微镜是一种微观的仪器.整个幻灯片成像的成像.

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科学领域:

数字病理学数字病理学
医疗成像医学成像
组织病理学组织病理学

背景情况:

医院病理学部门越来越多地将操作数字化.
目前的商业解决方案使用RGB摄像头,捕获有限的光谱信息.
需要先进的成像技术来增强组织病理样本分析.

研究的目的:

介绍一个自动化系统,集成RGB和高光谱技术用于组织病理样本数字化.
描述开发系统的硬件,软件和方法.
在采样和处理时间方面评估拟议系统的效率.

主要方法:

开发一个结合RGB和高光谱成像的自动化系统.
集成显微镜控制软件与自动对焦和整个幻灯片扫描.
实现一个超光谱扫描功能.
对正确采样工作方法的验证.

主要成果:

该系统成功地集成了RGB和高光谱成像功能.
该自动化软件包括自动对焦,用于整个幻灯片扫描的拼接算法,以及超光谱扫描.
对20个感兴趣地区的样本采集和处理时间最长为79分钟.
与手动操作员相比,拟议的方法至少减少了三倍的处理时间.

结论:

开发的自动化系统为组织病理样本提供了增强的信息捕获.
该系统表现出显著的时间效率,减少了手动操作员的时间.
硬件和软件组件都能适应使用高光谱技术的其他系统.