Razian Sayed Ahmadreza, Jadidi Majid
Department of Biomechanics, University of Nebraska Omaha, Omaha, NE.
Comput Methods Biomech Biomed Eng Imaging Vis. 2023;11(5):1652-1660. doi: 10.1080/21681163.2023.2174776. Epub 2023 Feb 4.
Histology images are widely used to assess the microstructure of biological tissues, but scanners often save images in bulky SVS and multi-layered TIFF formats. These formats were designed to archive image blocks and high-resolution textual information and are not compatible with conventional image analysis software. Our goal was to create a freeware Histology Image Viewer and Converter (HIVC) with a graphical user interface that allows viewing and converting whole-slide images in batch. HIVC was developed using C# Language for Windows x64 operating system. HIVC's performance was assessed by converting 20 whole-slide images to a JPG format at 20x and 40x resolution and comparing the results to ImageJ, Cell Profiler, QuPath, Nanoborb, and Aperio ImageScope. HIVC was more than 8-times faster in converting images than other software packages. This software allows high-speed batch conversion of histology images to traditional formats, permitting platform-independent secondary analyses.
组织学图像被广泛用于评估生物组织的微观结构,但扫描仪通常以庞大的SVS和多层TIFF格式保存图像。这些格式旨在存档图像块和高分辨率文本信息,与传统图像分析软件不兼容。我们的目标是创建一个带有图形用户界面的免费组织学图像查看器和转换器(HIVC),它允许批量查看和转换全切片图像。HIVC是使用C#语言为Windows x64操作系统开发的。通过将20张全切片图像以20倍和40倍分辨率转换为JPG格式,并将结果与ImageJ、Cell Profiler、QuPath、Nanoborb和Aperio ImageScope进行比较,评估了HIVC的性能。HIVC在转换图像方面比其他软件包快8倍以上。该软件允许将组织学图像高速批量转换为传统格式,从而实现与平台无关的二次分析。