Spatial biology imaging systems for multiplex tissue analysis and precision diagnostics
Omicsveu develops automated, integrated platforms for spatial multiplex analysis—detecting multiple protein biomarkers, nucleic acids, and mRNA expression within single tissue sections. The tech stack (Python, C++, TensorFlow, PyTorch, OpenCV, embedded Linux on ARM/Cortex) reveals a hardware-software hybrid: real-time RTOS firmware running on microcontrollers paired with AI/ML inference pipelines. Active projects span firmware development, diagnostics integration, and distributor expansion, indicating a company scaling both product maturity and go-to-market simultaneously.
Notable leadership hires: Commercialization Director
Omicsveu manufactures fully automated, integrated systems for spatial biology research and precision diagnostics. The product line includes Phenoveu (multi-protein detection), RNAveu (mRNA expression with sub-micron accuracy), miRNAveu (miRNA detection), and in situ sequencing platforms for single-cell tissue imaging. Target customers are research institutions, pathology labs, and precision oncology programs seeking biomarker discovery, therapeutics development, and diagnostic workflows. The company operates as a 11–50-person, privately held manufacturer based in Fremont, California, with engineering and sales functions and active hiring in the US and India.
Omicsveu builds automated spatial biology platforms that detect multiple biomarkers (proteins, RNA, DNA mutations) in single tissue sections at sub-micron resolution, enabling single-cell analysis for oncology research and precision diagnostics.
Python, C++, TensorFlow, PyTorch, OpenCV, scikit-learn, FreeRTOS, VxWorks, Embedded Linux, ARM, and Cortex microcontrollers—combining real-time firmware with AI/ML inference.
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