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使用Voronoi分割法对器官培养角膜内皮进行形态测量。

Morphometry of organ cultured corneal endothelium using Voronoi segmentation.

作者信息

Brookes Nigel H

机构信息

New Zealand National Eye Bank and Department of Ophthalmology, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.

出版信息

Cell Tissue Bank. 2017 Jun;18(2):167-183. doi: 10.1007/s10561-017-9622-9. Epub 2017 Apr 3.

Abstract

The endothelial viability of eye-banked corneas must be assessed before transplantation, yet phase-contrast images of the endothelium of corneas stored in an Organ Culture system have a huge variety of endothelial appearance at different focal planes, due to stromal swelling and an evaluation technique that swells the cells and their intercellular spaces to make them visible. This makes them difficult to assess using common edge-based segmentation methodologies that have mostly been developed in vivo using specular microscopy. Additionally, as the endothelial cell architecture has radically different form at apical and basal poles, segmentation of only the apical view cannot describe the cell as a whole. Using custom software, this study instead defines the cell borders using a calibrated Voronoi diagram, a region-based image segmentation technique that uses a point cloud of cell centroids as the only input required to measure the size (polymegathism) and shape (pleomorphism) of the endothelial cells. Measurements included the range and variation in the cell area and density, the number of cell sides, and several novel shape descriptors. A dataset of endothelial cell measurements was compiled from 2000 images of 678 corneas comprising 354,998 cells, and validated by comparison to previous studies from a variety of tissue sources, imaging modalities, and analysis techniques. While there were some differences in cell size variation and pleomorphic composition than seen in some other studies, much of the data was directly comparable, demonstrating fast and accurate endothelial cell morphometry at a large scale for a wide range of routine organ cultured corneas.

摘要

在角膜移植前必须评估眼库角膜的内皮细胞活力,然而,由于基质肿胀以及一种会使细胞及其细胞间隙膨胀以便观察的评估技术,在器官培养系统中储存的角膜内皮细胞的相差显微镜图像在不同焦平面上呈现出多种多样的内皮细胞外观。这使得使用大多在体内利用镜面显微镜开发的基于边缘的常见分割方法来评估它们变得困难。此外,由于内皮细胞结构在顶端和基底极的形态截然不同,仅对顶端视图进行分割无法完整描述细胞。本研究转而使用定制软件,通过校准的沃罗诺伊图来定义细胞边界,这是一种基于区域的图像分割技术,它使用细胞质心的点云作为测量内皮细胞大小(大小不均)和形状(多形性)所需的唯一输入。测量内容包括细胞面积和密度的范围及变化、细胞边数以及几个新的形状描述符。从678个角膜的2000张图像中编译了一个内皮细胞测量数据集,其中包含354,998个细胞,并通过与来自各种组织来源、成像方式和分析技术的先前研究进行比较来验证。虽然在细胞大小变化和多形性组成方面与其他一些研究存在一些差异,但许多数据是直接可比的,这表明对于广泛的常规器官培养角膜,该方法能够快速、准确地进行大规模内皮细胞形态测定。

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