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Phase Contrast and Differential Interference Contrast Microscopy

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

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Updated: May 7, 2026

Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

使用快速圆形变换和Chan-Vese细分的光盘定位的新方法

S Gowthaman¹, Abhishek Das²

¹Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Scientific reports

|August 26, 2025

概括

此摘要是机器生成的。

这项研究引入了一种用于在视网膜图像中准确定位和细分光盘 (OD) 的新框架,从而改善早期疾病检测. 这种方法增强了对图像质量问题的稳定性,

关键词:

陈维斯细分法快速循环转换科夫斯基加权K-平均值视觉盘的定位基于 PDE 的 Inpaint 没有监督的方法

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Last Updated: May 7, 2026

Doppler Optical Coherence Tomography of Retinal Circulation

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Published on: September 18, 2012

Using Retinal Imaging to Study Dementia

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Published on: November 6, 2017

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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科学领域:

眼科眼科
医学图像分析
计算机视觉

背景情况:

精确的光盘定位和细分对于早期检测眼睛疾病如青光眼和糖尿病视网膜病变至关重要.
现有方法面临的挑战包括可变的图像质量,高噪音和不良边缘信息.
对于及时的临床干预和疾病管理来说,强有力的OD分析至关重要.

研究的目的:

在视网膜图像中开发强大的光盘 (OD) 定位和细分的适应性框架.
克服与图像质量和噪音相关的现有方法的局限性.
提高用于临床应用的OD分析的准确性和通用性.

主要方法:

结合快速循环转换 (FCT) 与基于的视网膜血管特征的适应性框架用于OD局部化.
对于动态特征重要性评估和数据集变化弹性,Minkowski加权K-平均集群.
基于部分微分方程的绘制用于血管移除,以及Chan-Vese活性轮模型用于OD细分精细化.

主要成果:

在DRISHTI-GS,DRIONS-DB,IDRID和ORIGA数据集的广泛评估中证明了局部化的有效性.
在ORIGA和DRISHTI-GS上达到0.94-0.95的Dice系数和0.9的Jaccard指数.
拟议的方法在视网膜图像分析中显示出显著的稳定性和通用性.

结论:

开发的自适应框架为光盘 (OD) 定位和细分提供了强大的解决方案.
FCT,基于的特征和先进的细分技术的整合解决了视网膜图像分析的关键挑战.
该方法的强大性能凸显了其在诊断眼科疾病中的广泛临床应用潜力.