The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

A new study published in the journal Cell Systems on November 20, 2019, reports the use of machine learning to help form complex cell architectures from pluripotent stem cells, a sophisticated ...

Looking at human cells isn’t as simple as it sounds, especially when scientists want to examine clearly, in 3D, how multiple structures change over a time while cells are alive. Now, the Allen ...

Machine learning can help improve drug production from cell culture by fine-tuning and quantifying cell culture media experiments. That’s the view of Bei-Wen Ying, PhD, a researcher from the ...

Imagine predicting the exact finishing order of the Kentucky Derby from a still photograph taken 10 seconds into the race. That challenge pales in comparison to what researchers face when trying to ...

Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...

If a cell image is worth a thousand words, drug hunters haven’t been paying attention to most of these. Despite the impressive capabilities of high-content imaging systems to peer into the cell, ...

Researchers at the Allen Institute have used machine learning to train computers to see parts of the cell the human eye cannot easily distinguish. Using 3D images of fluorescently labeled cells, the ...