Pathology

Percent Area Staining
Cell Classification (Ki-67)
Microglia /Brain Tissue Analysis
Color Deconvolution
Whole Slide Analysis
Machine Learning
Percent Area Staining

Percent Area Staining

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 (Ki-67)

Cell Classification (Ki-67 and others)

cells and nuclei is simplified by the use of machine learning to find the cells of interest.

Once the cell have been located, they may be classified based on the Learning Classification feature where the user trains the system to properly classify the cell population.

Microglia /Brain Tissue Analysis

Microglia / Brain Tissue Analysis

Scientists and researchers who are looking for functions like microscopy image analysis prefer our brain tissue image analysis software and capture module tools.

 
 
 
 
 

Color Deconvolution

Color Deconvolution

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.

Simply extract one of the appropriate predefined stains or create you own stain profiles when required.

Whole Slide Analysis

Whole Slide Image Analysis

Analyzing tissue from slide scanners, which generate large multi-gigabyte files, are normally larger than available memory to display or analyze. Image-Pro supports many slide scanner and pyramidal file formats.

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

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.

Suggested Product Configuration

The combination of Image-Pro with the Capture and/or 3D Module

Document a sample, easily analyze and measure objects of interest. If the sample extends beyond the field of view, simply activate dynamic tiling and EDF to automatically capture, tile, and generate the Extended Focus image, all by moving the sample without the need for automation. Easily analyze your images, save them as protocols and generate custom reports, while implementing the audit function for additional checks to ensure you maintain the highest level of quality in your lab.

 

Image-Pro
Analysis Software

Incorporating more than 35 years of experience analyzing images, Image-Pro (IP) provides intuitive tools to make it easy to capture, process, measure, analyze, and share your images and valuable data.

2D Image
Capture Module

From simple documentation to complex capture to Dynamic tiling and Extended Depth of Focus, the Image-Pro Capture Module offers the solution and hardware support you need to seamlessly capture your images

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