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The Leader Of CellTechnology

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About CytoAurora

CytoAurora Biotechnology combines semiconductor, artificial intelligence and biomedicine and other cross-field technologies to develop its own patented technology. It is committed to the development of single-cell research and application platforms, and greatly improves the development of basic scientific research and clinical research.


We successfully integrate semiconductor, artificial intelligence analysis, optical systems, molecular pathology and precision mechanics technologies. Successfully developed a new generation of precision cell detection equipment, and developed a Nano CAST detection system equipped with artificial intelligence.



Developed using tumor cell-specific molecular antibody

Semiconductor technology

the nano-biological chip with international patents has been developed

Artificial intelligence interpretation

Combining artificial intelligence and optical systems to develop automated analysis tools



Self-developed and manufactured cell detection platform

CR (Cell Reveal)



(Cyto Multi-staining Scanner)

CA(Cell Aurora)

Cell Reveal and Cell Aurora equipment are suitable for precision medical diagnosis, stem cell/protein new drug development, and CDMO industry



CytoAurora gave a speech at the 7th Liquid Biopsy Research Conference in Japan and was recognized



Detection of Circulating Tumor Cell-Related Markers in Gynecologic Cancer Using Microfluidic Devices: A Pilot Study



North American Biotech New Venture Investment Event, CytoAurora Wins Second Place

Nanoscience for Cell Analysis via Semiconductor Technology and Artificial Intelligence Scanner, Nano CAST AI Scanner

Nano CAST AI Scanner is an automated system capable of fast scanning, photographing, and AI analysis for "histopathology" and "cytopathology"—the perfect combination of semiconductor technology, precision optics, machinery, and AI analysis system can present pathological tissues and blood cells with high color and high resolution, accurately define the coordinates of specimen cells, quickly detect and improve recognition accuracy, reduce artificial Operating and judgment errors, and maintain consistency of results.

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