Technology
Molecular Cartography™ harnesses the power of single-molecule fluorescence in situ hybridization (smFISH) — the gold standard for spatial RNA quantification. By combining streamlined sample preparation, intelligent probe design, high probe redundancy, and high-resolution imaging, our technology achieves unmatched sensitivity and specificity.
Multi-Modal Molecular Cartography™
Sample Preparation
Simplify your workflow with
streamlined protocols that support both fresh-frozen and FFPE tissue samples. Our method minimizes hands-on time and eliminates the need for tissue clearing or signal amplification, ensuring high signal fidelity and preserving the natural spatial context of your samples.
RNA Assay
Our advanced RNA assay enables single-molecule detection of up to 330 RNA targets per tissue section. Using in-silico designed probes and a robust combinatorial labeling strategy across multiple rounds of hybridization and imaging, this workflow delivers high-resolution spatial transcriptomic data with unparalleled sensitivity and specificity.
Protein Assay
Seamlessly complement your RNA data with our cyclic immuno-fluorescence workflow, which detects over 10 protein markers per sample. Precisely interrogate protein markers ranging from investigational to routine clinical analysis.
H&E Staining
Unlock a deeper understanding of your samples by integrating morphological context with molecular data. Given the non-destructive nature of our assay, you can perform Hematoxylin and Eosin (H&E) staining after our Molecular Cartography™ workflow, creating a powerful bridge between classical pathology and cutting-edge molecular analysis.
H&E and RNA assay overlay of malignant melanoma FFPE tissue sample. Zoomed images (right) show vascular structures within tumor area that are tightly associated with SPP1+ TAMs
MC2: A System Built for
Next Generation Pathology
MC2 is our next-generation benchtop platform designed to redefine spatial molecular imaging. Building upon the exceptional assay performance of MC1, MC2 delivers comprehensive enhancements across the board - including expanded scanning area, increased plexity, targeted panel content, advanced controls, and true multi-modality.
Assay Features
Cell Segmentation
Accurately assigning transcripts to individual cells remains one of the most critical challenges in spatial single-cell analysis. Our approach combines targeted staining of nuclear, cytoplasmic, and membrane markers with state-of-the-art deep learning algorithms to precisely delineate cell boundaries within complex tissue environments for accurate single cell downstream analysis.
Targeted Panels and Controls
Rather than deploying ultra-high-plex panels indiscriminately, we target molecular features selected for their relevance to the tissue and disease under investigation. This focused approach minimizes background noise and increases signal specificity, thereby providing robust detection of rare cell types and resolution of subtle transcriptional and phenotypic states. In addition, we prioritize controls across all stages of the process to ensure reproducibility, accuracy, and confidence.
Prioritizing assay performance and controls over plexity enables highly specific detection of transcript species. Images show Pancreatic Ductal Adenocarcinoma FFPE tissue sample with key markers highlighted for epithelial and stromal cell populations (100-plex I/O panel).
Concordance studies of Molecular Cartography™ RNA assay performed on serial FFPE sections of various tissue types with our 100-plex I/O panel. Statistical correlations were performed for counts of individual target RNAs for independent runs and operators.
Reproducibility is Key
Molecular Cartography™ is built for reproducibility across replicates, tissue types, and experimental conditions. Our assay consistently delivers high concordance between serial sections, ensuring data reliability and enabling robust biological comparisons for large-scale translational studies.
Data Output and Visualization
We deliver standardized data formats that are fully compatible with established downstream analysis pipelines. Additionally, we provide support for interactive visualization and analysis through both cloud-based and locally installed tools with intuitive graphical user interfaces.
