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Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...

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相关实验视频

Updated: Jun 27, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

SpecReFlow:一种使用流导视频完成的镜面反射恢复算法.

Haoli Yin¹, Rachel Eimen^2,3, Daniel Moyer¹

¹Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.

Journal of medical imaging (Bellingham, Wash.)

|April 26, 2024

概括

此摘要是机器生成的。

在内镜视频中的镜面反射 (SRs) 是有问题的. SpecReFlow是一种新的深度学习解决方案,有效地检测和恢复SR区域使用空间和时间连贯性,改善外科视觉.

关键词:

通过内镜检查 (endoscopy) 进行内镜检查图像文物图像文物图像恢复图像恢复图像恢复多视图恢复恢复多视图恢复光学流的光学流量镜面上的反射反射反射.

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Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

相关实验视频

Last Updated: Jun 27, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

Published on: November 11, 2010

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

科学领域:

医疗成像医学成像
计算机视觉计算机视觉
人工智能的人工智能

背景情况:

镜像反射 (SRs) 是内镜视频中常见的工件.
这些文物影响了外科观察和判断.
现有的SR去除方法效率低下,可能导致误解.

研究的目的:

开发第一个完整的深度学习解决方案,用于在内镜视频中检测和恢复SR区域.
在SR检测和恢复中确保空间和时间的连贯性.
提高内镜视频用于临床诊断和治疗的质量.

主要方法:

SpecReFlow采用三阶段过程:图像预处理以增强对比度,SR区域检测和SR区域恢复.
修复阶段利用光学流来从相邻的中传播颜色和结构.
这种方法将时间信息与空间数据相结合,以准确重建.

主要成果:

在检测和恢复方面,SpecReFlow的性能优于以前的方法.
检测阶段取得了82.8%和94.6%的敏感度.
恢复阶段通过结合时间信息,表现出卓越的准确性.

结论:

SpecReFlow是一个新的解决方案,结合了时间和空间信息,以有效地检测和恢复SR.
它超越了现有的单空间信息方法.
作为一种纯软件解决方案,SpecReFlow可以轻松部署,以提高临床内镜视频质量.