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Comparative analysis of tissue reconstruction algorithms for 3D histology

机译:3D组织学组织重建算法的比较分析

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Motivation: Digital pathology enables new approaches that expand beyond storage, visualization or analysis of histological samples in digital format. One novel opportunity is 3D histology, where a three-dimensional reconstruction of the sample is formed computationally based on serial tissue sections. This allows examining tissue architecture in 3D, for example, for diagnostic purposes. Importantly, 3D histology enables joint mapping of cellular morphology with spatially resolved omics data in the true 3D context of the tissue at microscopic resolution. Several algorithms have been proposed for the reconstruction task, but a quantitative comparison of their accuracy is lacking.
机译:动机:数字病理学使得新方法能够以数字格式扩展超出存储,可视化或分析的组织学样本。 一种新颖的机会是3D组织学,其中基于串行组织部分计算样本的三维重建。 这允许在3D中检查组织架构,例如用于诊断目的。 重要的是,3D组织学能够在微观分辨率下,在组织的真实3D上下文中,在组织的真实3D上下文中具有与空间分辨的OMIC数据的联合映射细胞形态。 已经提出了几种算法来重建任务,但缺乏其准确性的定量比较。

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