Label-free cell segmentation with IN Carta SINAP application module

Label-free cell analysis provides an alternative to using fluorescent dyes, enabling scientists to image live cells under near-native conditions. Using transmitted light (TL) images to detect cells is also effective to maximize the use of fluorescent channels for specific labels. However, a robust cell segmentation method for label-free microscopy can be very difficult due to the transparent nature of cells, the variability in acquisition conditions, low contrast, and shading problems. Explore how Molecular Devices uses SINAP, an artificial intelligence (AI)-based segmentation tool in IN Carta^® Image Analysis Software to tackle these challenging TL segmentation issues.