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从相邻组织样本构建复合虚拟切片。

Building of a composite virtual slide from contiguous tissue samples.

作者信息

Plancoulaine Benoît, Oger Myriam, Elie Nicolas, Belhomme Philippe, Herlin Paulette, Nasri Abir, Augé Célia, Brécin Mylène, Marnay Jacques, Bor-Angelier Catherine

出版信息

Diagn Pathol. 2014;9 Suppl 1(Suppl 1):S9. doi: 10.1186/1746-1596-9-S1-S9. Epub 2014 Dec 19.

Abstract

BACKGROUND

Currently available microscope slide scanners produce whole slide images at various resolutions from histological sections. Nevertheless, acquisition area and so visualization of large tissue samples are limited by the standardized size of glass slides, used daily in pathology departments. The proposed solution has been developed to build composite virtual slides from images of large tumor fragments.

MATERIALS AND METHODS

Images of HES or immunostained histological sections of carefully labeled fragments from a representative slice of breast carcinoma were acquired with a digital slide scanner at a magnification of 20×. The tiling program involves three steps: the straightening of tissue fragment images using polynomial interpolation method, and the building and assembling of strips of contiguous tissue sample whole slide images in × and y directions. The final image is saved in a pyramidal BigTiff file format. The program has been tested on several tumor slices. A correlation quality control has been done on five images artificially cut.

RESULTS

Sixty tumor slices from twenty surgical specimens, cut into two to twenty six pieces, were reconstructed. A median of 98.71% is obtained by computing the correlation coefficients between native and reconstructed images for quality control.

CONCLUSIONS

The proposed method is efficient and able to adapt itself to daily work conditions of classical pathology laboratories.

摘要

背景

目前可用的显微镜载玻片扫描仪可从组织切片以各种分辨率生成全玻片图像。然而,由于病理科日常使用的载玻片尺寸标准化,大组织样本的采集面积以及可视化受到限制。已开发出所提出的解决方案,用于从大肿瘤碎片的图像构建复合虚拟玻片。

材料与方法

使用数字玻片扫描仪以20倍放大倍数获取来自乳腺癌代表性切片的精心标记碎片的苏木精-伊红染色(HES)或免疫染色组织切片图像。拼接程序包括三个步骤:使用多项式插值方法矫正组织碎片图像,以及在x和y方向构建并组装连续组织样本全玻片图像条带。最终图像以金字塔形BigTiff文件格式保存。该程序已在多个肿瘤切片上进行测试。对五张人工切割的图像进行了相关性质量控制。

结果

重建了来自20个手术标本的60个肿瘤切片,这些切片被切成2至26片。通过计算用于质量控制的原始图像与重建图像之间的相关系数,中位数为98.71%。

结论

所提出的方法是有效的,并且能够适应传统病理实验室的日常工作条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dfe/4305979/4f9dd03bf9d1/1746-1596-9-S1-S9-1.jpg

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