Image-Pro provides a range of time saving apps and workflows for research pathology.
Image-Pro 为病理学研究人员提供各种用于采集图像、打开多分辨率虚拟幻灯片文件以及识别、量化和分类细胞核、细胞膜或染色组织区域的工具。可以创建自定义工作流程并进行保存，以备将来使用。
染色面积百分比
The analysis of stained tissue presents many unique challenges such as even illumination of the imaging device, consistency in tissue staining, or consistency in tissue thickness - any of which may effect the image quality.
Using machine learning based Smart Segmentation, Image-Pro our tissue image analysis software may be quickly trained to identify stained tissue areas in a reliable and repeatable manner.
细胞分类（Ki-67 及其它）
使用机器学习简化细胞和细胞核，以找到关切的细胞。
找到细胞并且用户训练系统如何对细胞群正确分类后，系统将基于学习分类功能对细胞群进行分类。
小神经胶质/脑组织分析
Scientists and researchers who are looking for functions like microscopy image analysis prefer our brain tissue image analysis software and capture module tools.
颜色反卷积
A common issue is the analysis of multiple stains which may be superimposed over one another. In some cases, traditional color segmentation techniques and even machine learning based segmentation of the stained tissue may be difficult. To address these issues, the Color Deconvolution APP is available to extract individual stains from a color image into separate images, which may be easily quantified.
您可以提取一个合适的预定义色斑，也可创建自己的色斑配置文件。
Whole Slide Image Analysis
使用幻灯片扫描仪分析组织时生成的高达数十亿字节的大规模文件通常超过了可用的显示或分析存储容量。Image-Pro 支持多个幻灯片扫描仪和金字塔文件格式。
In addition to being able to open and display the whole slide scan, a number of APPs have been developed to support the markup and extraction of specific areas or to markup and analyze the regions by whole slide image analysis module.
Machine Learning (Smart Segmentation)
When using multiple stains is required, traditional segmentation methods are unable to resolve multiple colors with any degree of accuracy.
Using machine learning for image analysis based Smart Segmentation, Image-Pro may be quickly trained to identify stained tissue areas in a reliable and repeatable manner.
