Live-cell imaging platform integrating time-lapse microscopy with single-cell transcriptomics
Cellanome operates a live-cell analysis platform that pairs time-lapse imaging with single-cell transcriptomics to track cellular dynamics in real time. The tech stack is research-grade (Python, R, ggplot2, Seaborn, Shiny, Streamlit) and reflects early-stage biology software. Active hiring across manufacturing, operations, and engineering—plus concurrent projects in consumable assembly, analytical pipeline development, and global distribution—suggests the company is transitioning from pure software to a hardware-consumables model with built-in instrumentation.
Cellanome develops a live-cell analysis platform designed to reveal cellular dynamics, interactions, and state transitions across immune, cancer, brain, and aging biology. The platform integrates high-resolution time-lapse microscopy with single-cell transcriptomics to generate datasets suitable for AI-driven therapeutic discovery and mechanistic research. Founded in 2020 and based in Foster City, California, the company operates with 51–200 employees. Current initiatives span both software (interactive multimodal data tools, analytical pipelines) and hardware (manufacturing and packaging of consumable components for global distribution), indicating a shift toward a vertically integrated offering.
Cellanome's platform captures live-cell dynamics by combining time-lapse imaging with single-cell transcriptomics at scale, tracking how cells evolve, interact, and respond over time across immunology, oncology, neuroscience, and aging applications.
Core tools include Python, R, ggplot2, Seaborn, matplotlib, Git, GitHub, Shiny, and Streamlit—a research-focused stack for data visualization, statistical analysis, and interactive tool development.
Cellanome is headquartered in Foster City, California, and is a privately held company founded in 2020 with 51–200 employees.
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