Abstract
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 into batches. 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 20× and 40× 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.
Author supplied keywords
Cite
CITATION STYLE
Razian, S. A., & Jadidi, M. (2023). Histology Image Viewer and Converter (HIVC): a high-speed freeware software to view and convert whole slide histology images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 11(5), 1652–1660. https://doi.org/10.1080/21681163.2023.2174776
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.