A high accuracy neural network approach to measuring confluency in cell line development using Solentim’s ICON instrument
Confluency, the percent area of a microplate well visually covered by cells, is used in cell biology as a trigger for key events including initiation of cell-based assays, transfection and passaging.
In this application note, Solentim describes a novel neural network approach to confluency detection using the ICON instrument.
An artificial neural network is a scalable, adaptive structure that when compared to traditional image processing methods has the advantages of being able to adapt to unforeseen scenarios and learn from experience.
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