Tips for Choosing a Digital Pathology Image Analysis Solution

Image Analysis can be a powerful tool for researchers using digital pathology. We offer some top tips to consider when choosing your solution.

1. Consider Your Use Case

What applications do you want to use image analysis for? Consider your biomarkers, tissue types, and goals. Some examples include:

• Brightfield or fluorescence.
• Immunohistochemistry.
• In situ hybridization.
• Tumor / histology pattern recognition.

There is a wide range of image analysis tools on the market, so make sure you choose the correct ones.

2. Look for Flexible Analysis Options

Researchers frequently work with a changing array of biomarkers, tissues, and disease states. While there are technical limitations to image analysis, your tools should be flexible enough to meet a variety of needs.

• Will the algorithm analyze images in the file formats you use, or is it locked to a vendor-specific format?
• Can you customize the analysis algorithms for different stains, markers or tissues?
• Can custom algorithm parameters be saved and easily re-run as needed?
• Will the algorithm analyze whole slide images and / or regions of interest?
• Can you define your own scoring categories for the output data?

>> Download the full Application Note as PDF

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