An ImageJ plugin for the sizing and counting of microbubbles
An ImageJ plugin for the sizing and counting of microbubbles
复制标题
用于微泡大小和计数的 ImageJ 插件
DOI：
10.1109/ultsym.2015.0483
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
A. Bouakaz
中科院分区：
文献类型：
--
作者：
C. Sennoga;Emma Kanbar;A. Bouakaz
越来越多的证据表明，超声造影图像增强与所用微泡超声造影剂的尺寸分布之间存在很强的相关性。因此，准确测定微泡超声造影剂的大小和浓度是重要的，不仅为非线性气泡振荡理论的实验验证，而且为常规评估其质量控制。在目前的工作中，我们已经组装了一个开源的ImageJ插件，旨在使用分散的微泡的明场显微镜图像识别和确定微泡的直径，尺寸分布和浓度。名为“BubblesizerJ”的插件使用图像分割结合现有的粒径测定和球体距离变换算法来识别、计数和确定微泡的大小。使用白色背景上黑色圆圈的数字合成图像和已知模态直径和浓度的标称单分散微球的明视野显微镜图像对BubblesizerJ进行验证。通过重复确定SonoVue®（一种商业超声造影剂）的大小和浓度来证明插件的实用性。我们已经将该插件应用于具有不同分辨率和质量的显微图像的分析，并且它始终返回与已知值没有统计学差异的直径和浓度。我们证明，该插件使用户能够快速，彻底地确定微泡的浓度和直径。
Accumulating evidence demonstrates a strong correlation between ultrasound contrast image enhancement and the size distribution of the microbubble ultrasound contrast agent used. Accurate determination of the size and concentration of microbubble ultrasound contrast agents is therefore important, not only for the experimental verification of theories on nonlinear bubble oscillations but also for the routine assessment of their quality control. In the present work, we have assembled an open-source ImageJ plugin designed to identify and determine the diameter, size distribution and concentration of microbubbles using bright field microscopy images of dispersed microbubbles. The plug-in named “BubblesizerJ” uses image segmentation combined with existing algorithms for particle size determination and spheroid distance transform to identify, count and size microbubbles. BubblesizerJ was validated using digital synthetic images of black circles on a white background and bright field microscopy images of nominally monodispersed microspheres of known modal diameter and concentration. Demonstrating the utility of the plugin, was achieved by repeatedly determining the size and concentration of SonoVue®, a commercial ultrasound contrast agent. We have applied the plugin to the analyses of microscopic images with differing resolution and quality and it consistently returned diameters and concentrations not statistically different from known values. We demonstrated that the plugin enables users to rapidly and thoroughly determine the concentration and diameter of microbubbles.
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DOI：
10.1179/175889709x446507
发表时间：
2009-11
期刊：
Bubble science engineering and technology
影响因子：
--
作者：
Sirsi S;Borden M
通讯作者：
Borden M
影响因子：
2.9
作者：
Alter, Julia;Sennoga, Charles A.;Wells, Dominic J.
通讯作者：
Wells, Dominic J.
影响因子：
2.9
作者：
Sennoga, Charles A.;Mahue, Veronique;Eckersley, Robert J.
通讯作者：
Eckersley, Robert J.
影响因子：
3.8
作者：
Shekhar, Himanshu;Rychak, Joshua J.;Doyley, Marvin M.
通讯作者：
Doyley, Marvin M.