3-D Visualization of Atlantic salmon skin through Ultrasound and Photoacoustic Microscopy.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-10-22 eCollection Date: 2024-10-01 DOI:10.1371/journal.pcbi.1011709
Abhishek Ranjan, Jaya Kumari Swain, Balpreet Singh Ahluwalia, Frank Melandsø
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引用次数: 0

Abstract

Significance: Three-dimensional photoacoustic imaging (PAM) has emerged as a promising technique for non-invasive label-free visualization and characterization of biological tissues with high spatial resolution and functional contrast.

Aim: The application of PAM and ultrasound as a microscopy technique of study for Atlantic salmon skin is presented here.

Approach: A custom ultrasound and photoacoustic experimental setup was used for conducting this experiment with a sample preparation method where the salmon skin is embedded in agarose and lifted from the bottom of the petridish.

Results: The results of C-scan, B-scan, and overlayed images of ultrasound and photoacoustic are presented. The results are then analyzed for understanding the pigment map and its relation to salmon behavior to external stimuli. The photoacoustic images are compared with the optical images and analyzed further. A custom colormap and alpha map is designed and the matrices responsible for PAM and ultrasound are inserted together to overlay the ultrasound image and PAM image on top of each other.

Conclusions: In this study, we propose an approach that combines scanning acoustic microscopy (SAM) images with PAM images for providing a comprehensive understanding of the salmon skin tissue. Overlaying acoustic and photoacoustic images enabled unique visualization of tissue morphology, with respect to identification of structural features in the context of their pigment distribution.

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通过超声波和光声显微镜实现大西洋鲑鱼皮肤的三维可视化。
意义:三维光声成像(PAM)已成为一种具有高空间分辨率和功能对比度的生物组织无创无标记可视化和表征技术,前景广阔:方法:使用定制的超声波和光声实验装置进行实验,采用的样品制备方法是将鲑鱼皮肤嵌入琼脂糖中,然后从培养皿底部取出:结果:展示了 C 扫描、B 扫描以及超声波和光声学叠加图像的结果。然后对结果进行分析,以了解色素图谱及其与三文鱼对外部刺激行为的关系。将光声学图像与光学图像进行比较并进一步分析。我们设计了一个自定义色图和阿尔法图,并将负责 PAM 和超声波的矩阵插入其中,将超声波图像和 PAM 图像叠加在一起:在这项研究中,我们提出了一种将扫描声学显微镜(SAM)图像与 PAM 图像相结合的方法,以提供对鲑鱼皮肤组织的全面了解。声学图像和光声学图像的叠加实现了组织形态的独特可视化,可根据色素分布识别结构特征。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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