If good science is about storytelling, our bioinformatic tools often take us in the complete opposite direction. We grasp at UMAP embeddings and heatmaps trying to find something significant, or we simply outsource the analysis to someone else. TerraFlow gives agency back to the scientist with a plain-English report anyone can pick up and instantly understand.
Ever wonder what you’re missing in your data? Our exhaustive approach detects cell types routinely ignored by traditional methods, allowing scientists to extract new insights from the data they already have.
TerraFlow defines each population with a simple gating path like GITR+PD1+ or CCR7+CD95+. It then uses ChatGPT-enabled technology (FlowGPT) to explain how each protein combination relates to your disease of interest.
Upload data, label patient groups, and hit “Submit”. In 24 hours you’ll get back a complete immuno-phenotyping report. It’s that easy.
|Phenotypes evaluated||None||Tens||Tens of thousands|
|Cell annotation||Visual inspection||Cluster MFIs||Explicit gating strategies|
|Tuning||Tune multiple parameters||Anticipate number of clusters||No tuning necessary|
|Randomness||Different results every time||Different results every time||Same results every time|
|Use case||Visualize data||Identify major subtypes||Define disease-associated cell types|
|TerraFlow||Tens of thousands|
|TerraFlow||Explicit gating strategies|
|UMAP||Tune multiple parameters|
|FlowSOM||Anticipate number of clusters|
|TerraFlow||No tuning necessary|
|UMAP||Different results every time|
|FlowSOM||Different results every time|
|TerraFlow||Same results every time|
|FlowSOM||Identify major subtypes|
|TerraFlow||Define disease-associated cell types|
We'll email you a sample report from our recent paper on Hodgkin Lymphoma