Bridging the gap between AI and manual precision in 3D cell segmentation

Researchers from Nagoya City University have made an important advancement in the field of cellular imaging with the development of Seg2Link, a software tool that harnesses the power of artificial intelligence (AI) and semi-automated correction techniques to accurately segment cells in 3D images from a stack of 2D images. This solution bridges the gap between AI predictions and real-world accuracy, enabling scientists to process large-scale image data more efficiently. Their paper is published in the journal Scientific Reports.