OpenTME
OpenTME provides pre-computed spatial readouts for thousands of TCGA whole-slide images. Paired with TCGA's molecular and clinical data, it gives life sciences teams a gold-standard external cohort to generate and validate hypotheses at scale.
TCGA is one of the most comprehensively characterized cancer cohorts available, with genomic, transcriptomic, proteomic, and clinical data linked to individual patients.
What life sciences teams get
Polygon outputs for 7 tissue segments and 9 cell classes
Access to Aignostics’ proprietary digital pathology viewer, pre-configured for displaying OpenTME outputs
OpenTME was created by running Atlas H&E-TME on H&E images from TCGA. It lets researchers correlate H&E-derived features – cell-cell interactions, stromal composition, local neighborhoods, and nuclear morphology – with molecular and clinical data, enabling multimodal analyses that go well beyond classic immune infiltration metrics.
4500+ quantitative spatial features
Access to "TME Studio" – Marimo notebooks and detailed user documentation for data loading, filtering, and downstream analyses
TCGA is one of the most comprehensively characterized cancer cohorts available, with genomic, transcriptomic, proteomic, and clinical data linked to individual patients.
OpenTME was created by running Atlas H&E-TME on H&E images from TCGA. It lets researchers correlate H&E-derived features – cell-cell interactions, stromal composition, local neighborhoods, and nuclear morphology – with molecular and clinical data, enabling multimodal analyses that go well beyond classic immune infiltration metrics.
What life sciences teams get
Polygon outputs for 7 tissue segments and 9 cell classes
4500+ quantitative spatial features
Access to Aignostics’ proprietary digital pathology viewer, pre-configured for displaying OpenTME outputs
Access to "TME Studio" – Marimo notebooks and detailed user documentation for data loading, filtering, and downstream analyses
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