Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life.

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out ...

An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has developed an artificial intelligence (AI)-based image segmentation algorithm that can rapidly reconstruct ...