Image Analysis software for pathology applications.
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.
Cell Classification Image Processing (Ki-67)
Nuclei and Cell classification image processing is simplified by the use of machine learning to find the cells of interest.
Scientists and researchers who are looking for functions like microscopy image analysis prefer our brain tissue image analysis software and capture module tools.
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.
Whole Slide Image Analysis
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.