Miraomics

MiraTyper Case Studies

See how MiraTyper delivers accurate, reproducible cell type classification across diverse tissues, diseases, and sequencing platforms.

Cervical Cancer • Spatial Transcriptomics

Density, not Triad Geometry, drives Allograft Rejection Signature in Reference Cervical Cancer Atera Slide

Density-controlled spatial analysis of a 717,576-cell Xenium WTA section. The triad geometry reproduces, but the canonical licensing signature does not survive density adjustment — with a maturation-arrested LAMP3⁺ dendritic-cell substate at the malignant border as a candidate mechanism.

717,576
Cells Analyzed

406
Triad-Anchor CD8 Cells

11.6%
Mature-TLS Fraction

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Lymph Node • Spatial Transcriptomics

MiraTyper Evaluation on Xenium 5K Human Lymph Node (708K Cells)

Independent marker-based validation, systematic error attribution, and ground-truth-free spatial coherence analysis on a 10x Xenium spatial dataset with 127 predicted cell types.

708,983
Cells Evaluated

0.813
Corrected h-F1

76.5%
Better Spatial Coherence

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Pancreas • Type 2 Diabetes

MiraTyper Performance on Pancreatic Type 2 Diabetes Single-Cell Datasets

Confidence-stratified evaluation on two independent pancreatic islet datasets, with systematic annotation correction and marker-gene analysis of error mechanisms.

3,974
Cells Evaluated

96.2%
Accuracy (conf ≥ 0.5)

600
Annotation Corrections

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More Case Studies Coming Soon

We are continuously evaluating MiraTyper across new tissues, diseases, and platforms. Check back for additional case studies.

Want to See MiraTyper on Your Data?

Contact us to discuss a custom evaluation on your datasets and cell types of interest.