Introducing FateView™ Cell Detection

In many cell-based workflows, imaging is the primary source of information—but interpreting those images remains manual, inconsistent, and difficult to scale. As a result, important decisions often depend on subjective review or on readouts that arrive late in the process, limiting how early teams can act and how confidently they can compare conditions. 

FateView™ Cell Detection is designed to address this challenge by providing a consistent and scalable way to identify and quantify cells from imaging data. It enables robust identification and counting of cells directly from label-free microscopy images, without requiring per-experiment optimisation. Internally, we have evaluated performance across a range of cell types and imaging setups, with a focus on consistency under real-world variability. Learn more about the FateView™ platform.

This capability represents the first layer of FateView™’s predictive analytics stack. By standardising how cells are detected and quantified, it creates a stable basis for downstream analyses—whether assessing culture quality, comparing process conditions, or modelling cell fate trajectories. That foundation makes it possible to generate earlier quantitative readouts in a consistent and scalable way, including in settings where conventional assays are unavailable until later timepoints or where biomarker-based readouts are not sufficiently robust. It can also provide an orthogonal morphological view of process performance, helping teams build a fuller picture of what is happening in culture. 

The result is not simply automated cell counting. It is a stronger starting point for earlier and more confident decision-making across experiments, conditions, and teams—an essential step toward more data-driven cell-based development. The Cell Detection assay is now available as part of the FateView™ platform and can be accessed through a 30-day free trial. We invite you to test it on your own data and explore how it performs within your workflows.