Cellanome is developing an automated multi-omics platform that enables high-throughput live cell phenotypic and functional assays, allowing researchers to observe individual cell behaviors and interactions across various stimuli. This technology provides a granular understanding of cellular heterogeneity, facilitating the exploration of diverse cell types and functions without the need for multiple platforms or additional samples.
Funding
$216.3M 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.
Founders
Product
Problem
Current methods for studying cell behavior often rely on bulk measurements, obscuring individual cell responses and heterogeneity. Traditional assays may also require multiple platforms and additional samples to assess a range of stimuli and parameters.
Solution
Cellanome is developing an automated multi-omics platform designed to enable high-throughput live cell phenotypic and functional assays. The platform allows researchers to observe individual cell behaviors and interactions across various stimuli at a massively parallel scale. This technology provides a granular understanding of cellular heterogeneity, highlighting individual cellular responses over bulk measurements. The platform facilitates combinatorial assays without the need to switch platforms or consume additional samples, and is designed to integrate seamlessly into existing cell biology workflows.
Target Audience
The primary users are researchers in cell biology seeking a more granular understanding of cellular responses and heterogeneity.
Features
- Automated platform for iterative live cell phenotypic and functional assays
- Enables observation of cell-to-cell interactions over time
- Compatible across a range of cell types, including large and challenging cell types
- Facilitates combinatorial assays without needing to switch platforms or consume additional sample
- Designed to integrate seamlessly into existing cell biology workflows