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Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration

机译:质谱和组织学结合使用图像配准结合组织切片中的金属进行空间定位

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摘要

We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to laser ablation inductively coupled plasma mass spectrometry. This computer supported procedure enables determination of the distribution and content of metals of interest directly in the chosen histological zones and represents a substantial improvement over the standard approach, which determines these values in tissue homogenates or whole tissue sections. The potential of the described procedure was demonstrated in a pilot study that analysed Zn and Cu levels in successive development stages of pig melanoma tissue using MeLiM (Melanoma-bearing-Libechov-Minipig) model. We anticipate that the procedure could be useful for a complex understanding of the role that the spatial distribution of metals plays within tissues affected by pathological states including cancer.
机译:我们描述了一种新的程序,用于组织学表征的组织样本中的所选金属的平行映射。通过对从两个相邻的冷冻切片获得的数字数据进行图像配准来实现映射,方法是将第一个冷冻切片扫描为组织学样本,然后将第二个冷冻切片进行激光烧蚀电感耦合等离子体质谱法。这种计算机支持的程序可以直接在选定的组织学区域中确定目标金属的分布和含量,并代表了对标准方法的实质性改进,该方法确定了组织匀浆或整个组织切片中的这些值。这项试验的潜力在一项初步研究中得到了证明,该研究使用MeLiM(含黑素瘤的Libechov-Minipig)模型分析了猪黑素瘤组织连续发育阶段的锌和铜水平。我们预计该程序可能有助于复杂理解金属的空间分布在受癌症等病理状态影响的组织中所起的作用。

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