Easy, accurate results using deep learning-based trainable segmentation
Our sister company, Molecular Devices, continues to sell, support and further develop IN Carta Image Analysis Software. Please see the IN Carta page on Molecular Devices' webpage.
Why is segmentation so important?
Segmentation is the first step in converting image pixels into numerical data. Researchers use image segmentation to detect and categorize specific areas of interest, from organelles to whole cells.
Results from segmentation are used downstream to extract quantitative measurements and draw key conclusions. Because errors will propagate in subsequent steps, precise and accurate segmentation is critical in driving robust analyses.