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Non-invasive determination of murine placental and foetal functional parameters with multispectral optoacoustic tomography

机译:多光谱光声层析成像非侵入性测定鼠胎盘和胎儿功能参数

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摘要

Despite the importance of placental function in embryonic development,it remains poorly understood and challenging to characterize,primarily due to the lack of non-invasive imaging tools capable of monitoring placental and foetal oxygenation and perfusion parameters during pregnancy.We developed an optoacoustic tomography approach for real-time imaging through entire ~4 cm cross-sections of pregnant mice.Functional changes in both maternal and embryo regions were studied at different gestation days when subjected to an oxygen breathing challenge and perfusion with indocyanine green.Structural phenotyping of the cross-sectional scans highlighted different internal organs,whereas multi-wavelength acquisitions enabled non-invasive label-free spectroscopic assessment of blood-oxygenation parameters in foeto-placental regions,rendering a strong correlation with the amount of oxygen administered.Likewise,the placental function in protecting the embryo from extrinsically administered agents was substantiated.The proposed methodology may potentially further serve as a probing mechanism to appraise embryo development during pregnancy in the clinical setting.
机译:尽管胎盘功能在胚胎发育中很重要,但对它的了解仍然很少,并且很难表征,主要是由于缺乏能够在怀孕期间监测胎盘和胎儿氧合和灌注参数的非侵入性成像工具。我们开发了一种光声层析成像方法通过妊娠小鼠的整个〜4 cm横截面实时成像。研究了在进行氧气呼吸挑战和吲哚菁绿灌注的不同妊娠日,母体和胚胎区域的功能变化。横截面的结构表型扫描突出显示了不同的内部器官,而多波长采集可对胎儿胎盘区域的血液氧合参数进行无创无标签光谱评估,从而与所施用的氧气量密切相关。同样,胎盘在保护胎盘中的功能外用制剂的胚胎所提出的方法可能在临床环境中进一步充当评估妊娠期间胚胎发育的探测机制。

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  • 来源
    《光:科学与应用(英文版)》 |2019年第4期|610-619|共10页
  • 作者单位

    Faculty of Medicine, Technical University Munich, Munich, Germany;

    Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany;

    Institute of Advanced Studies and Research, JIS University, Kolkata, West Bengal, India;

    Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland;

    Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland;

    Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany;

    Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland;

    Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland;

    Faculty of Medicine, Technical University Munich, Munich, Germany;

    Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany;

    Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland;

    Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland;

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  • 入库时间 2024-01-27 03:26:46
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