A new complex software was launched to help biologists and cancer researchers identify and evaluate markers in tissue samples. It was developed by Cambridge Research & Instrumentation, in short CRi, and it’s called inForm.
The image analysis software is powered by the Machine Learning System and works by combining image processing and learning elements for automatic image processing.
The advanced software can detect and quantify tissue structures, as well as protein markers in each cell, eliminating the problem of markers blending together into masses of color that are indistinguishable.
inForm has a friendly user interface and is easy to use, requiring short training time, according to CRi, while allowing specialized users create reliable algorithms in several minutes. System requirements are those of a standard laptop computer.
There are many research organizations using the software, such as the Dana-Farber Cancer Institute and the University of Pennsylvania.
Its developer is specialized in optical imaging systems used in biometrical research, as well as in development of drugs and diagnostics.
“The combination of multispectral imaging and pattern-recognition based image analysis create a powerful tool for extracting key molecular information from tissue samples,” said Massimo Loda, pathology researcher at the Dana Farber Cancer Institute. “The information revealed using CRi’s inForm product enables a wide range of clinically-significant research.”
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