high precision urine-based cancer detection
Bringing clarity and precision to cancer diagnostics through advanced nanoscale imaging and machine learning
WHAT IF WE COULD TOUCH CELLS AND FEEL THE DIFFERENCE?
Cellens is pioneering in label-free cell analysis with a combination of high-resolution nanoscale imaging and proprietary machine learning. Our novel application of quantitative cell’s physical properties analysis in cancer detection reveals new clinically meaningful information that is translated into high-perfoming diagnostic tests.
ADDRESSING UNMET NEEDS
IN NON-INVASIVE CANCER DETECTION
PROPRIETARY CELL FIXATION
SAMPLE PROCESSING
NANOIMAGING CELL SURFACE
MACHINE LEARNING ANALYSIS
a new generation of cancer diagnostic tests
Studies performed by Tufts researchers with leading medical institutions showed high accuracy in cancer detection based on quantitative physical properties of cell surfaces. Our proprietary method is scalable and customizable to different kinds of cancer and can be applied to solve other clinically relevant questions.
2021 | Atomic Force Microscopy Detects the Difference in Cancer Cells of Different Neoplastic Aggressiveness via Machine Learning
A novel method based on atomic force microscopy (AFM) working in Ringing mode (RM) to distinguish between two similar human colon epithelial cancer cell lines that
Cellens to receive “Bit to Bytes” award from Baker-Polito Administration and the Massachusetts Life Sciences Center
Fourteen projects receiving funding to support R&D, innovation in addressing challenges in therapeutic delivery and unlocking potential of data science to answer pressing life sciences questions
