The startup develops in situ analysis technology that utilizes hydrogel tissue chemistry to extract multi-omic information from biological tissue, enabling high-resolution 3D mapping of gene expression patterns. This approach allows researchers to study thick tissue samples while maintaining the spatial integrity and anatomical structure of the cells.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PCFounders
Product
Problem
Current spatial biology techniques often rely on thin tissue sections, which fail to capture the complex, three-dimensional cellular interactions and architecture within intact biological samples. This limitation hinders a comprehensive understanding of tissue function and dysfunction, particularly in the study of heterogeneous environments like tumors and neural circuits.
Solution
Stellaromics provides the Pyxa platform, an integrated suite of devices, reagents, software, and services for 3D spatial multi-omics analysis. The platform utilizes Spatially-resolved Transcript Amplicon Readout mapping (STARmap) technology to extract multi-omic information from thick tissue samples, preserving the spatial integrity and anatomical structure of cells. Pyxa enables researchers to create fully annotated 3D maps of gene expression and cellular relationships, offering deeper insights into tissue biology. The platform supports automated volumetric confocal imaging, data analysis, and visualization, facilitating the study of cell-cell interactions, tissue architecture, and molecular gradients across various research areas.
Target Audience
The primary target audience includes researchers and clinicians in fields such as oncology, neuroscience, and drug discovery who require comprehensive, three-dimensional spatial multi-omics analysis of biological tissues.
Features
- STARmap technology for spatially-resolved transcript amplicon readout mapping
- Integrated platform for sample preparation, automated volumetric confocal imaging, data analysis, and visualization
- Compatible with thick tissue samples (20 to over 100 micrometers) from human, mouse, non-human primate, and other species
- Flexible chemistry supports both short and long RNA sequences, whether endogenous or exogenous
- Automated image processing and advanced data visualization tools
- Ability to process up to 12 wells simultaneously