PhenoLOGIC™ enables biologists using Harmony to train the software to develop the image analysis algorithms. While other systems may require an image analysis expert to create an algorithm, PhenoLOGIC uses proprietary machine-learning technology to make it easy for you to do it on your own. Using a learn-by-example approach, images can be segmented with just a few clicks of the mouse and then tailored algorithms developed quickly and easily.
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Make creating algorithms easy with PhenoLOGIC
The PhenoLOGIC machine-learning option enables our High Content Analysis software to recognize different cell populations and regions using a simple learn-by-example approach. Just click on a few cells of each class to teach the software what it is looking for, and PhenoLOGIC will do the rest. Image analysis that might have taken hours can be completed in a matter of minutes.
Using advanced proprietary machine-learning technology, PhenoLOGIC sets parameters for optimal image segmentation and cell classification. The software combines the most meaningful parameters, whether it's two, three, four or more, to achieve accurate classification of cells. The result is highly robust and statistically relevant results.
PhenoLOGIC machine learning is available as a software plug-in for the Harmony® High Content Imaging and Analysis Software and the Columbus™ Image Data Management and Analysis System.
The product of more than a decade of experience in high-content screening, the Operetta CLS delivers the speed and sensitivity for everyday assays, and even complex challenges – live cells, phenotyping, rare events, and much more.
