The in silico labeling prediction of organelle fluorescence from label-free microscopy images has the potential to revolutionize our understanding of cells as integrated complex systems. However, ...

Cells are a fundamental unit of biological organization, and identifying them in imaging data—cell segmentation—is a critical task for various cellular imaging experiments. Although deep learning ...

Scientists in Tokyo have developed a groundbreaking, label-free method to identify aging human cells using electric fields. This new technique avoids the downsides of chemical tagging, which can ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

A new, label-free method for identifying aged human cells has been developed. Researchers from Tokyo Metropolitan University (Japan) have created a new way of telling ‘aged’ human cells apart from ...