Welcome to Cellanome's Blog!

Cellanome Team

May 1, 2026

Biology happens over time, but most of the tools we use to study cells don't. We built Cellanome to change that: to link what cells do and how they interact while they're alive to what their RNA says after the fact. Here in this blog, we share what we’re building, what we’re learning along the way, and what it opens up.

Expect methods deep-dives, data perspectives, spotlights on science, and our takes on where the field might be heading. We’re aiming to post regularly, with the occasional shorter update when there’s new data or a story that feels worth sharing quickly.

We hope you’ll find this blog useful if you’re:
‍

• A biologist working in oncology, neurobiology, immunology, or aging and metabolic disease who’s ever looked at a transcriptomic cluster and wondered what those cells were actually doing, and whether the ones behaving differently had a different RNA story to explore
• A scientist designing co-culture, killing, or functional assays, or developing cell-based products and workflows, who’s ever wished you could track the same cells across conditions and timepoints, or wondered what phenotypic complexity might be hiding beneath a bulk readout.
• A computational scientist or modeler who's found that available single-cell datasets capture a lot, but not always the dynamic, multi-modal picture you need to model how cells actually behave.
• A scientist building or evaluating ML models of cell function who’s wondered whether data that pairs behavior, morphology and transcriptomics from the exact same cells, over time, not just at a snapshot, could serve as richer training data, a cross-modal ground truth, or a way to extend model performance to questions of cell behavior and function.

And if you’re already working with us, we’ll also use this space to share the latest features, applications and releases.

We aim to write the kind of pieces we’d want to read ourselves when planning experiments, analyzing data, or explaining results to a team. If there’s a specific experiment, disease area, or data challenge you want us to tackle, we’d love to hear from you!