We Believe Cancer Diagnostics Needs Some Physical Touch
Cellens is pioneering a novel biomarker for cancer diagnostics: cellular physical properties. By touching cell surfaces at the nanoscale, we reveal previously inaccessible, clinically meaningful information.
WHAT WE ARE DOING
AFM, Coupled with Machine Learning, Discriminates Cancerous from Noncancerous Cells
Historically, physicians determined malignancies by touch due to the softer nature of cancerous cells. Cellens revived this concept with modern technology, utilizing Atomic Force Microscopy to detect subtle physical dierences between cancerous and non-cancerous cells.
Our clinical data supports the eectiveness of this method, enabling us to diagnose cancer via urine samples. This brings us to a new era in bladder cancer diagnostics as we tap into the power of physical biomarkers
A Cell's Surface Property Map
A NONINVASIVE, URINE-BASED CANCER DIAGNOSTICS PLATFORM
Octosense Platform
Our peer-reviewed, published proof-of-concept data highlights the potential of AFM imaging to achieve high accuracy in detecting bladder cancer. Just a few cells per patient can provide millions of data points that are processed with our proprietary machine learning analysis. Moreover, Octosense is scalable and customizable to dierent types of cancer and other clinical conditions.
Proprietary Cell Fixation
Leveraging urine samples for non-invasive diagnostics, we extract and process cells that provide over a million data points per patient. Our method ensures high sample stability and preserves the cell’s surface for precise and reliable analysis.
Sample Processing
Leveraging urine samples for non-invasive diagnostics, we extract and process cells that provide over a million data points per patient. Our method ensures high sample stability and preserves the cell’s surface for precise and reliable analysis.
Nanoimaging Cell Surface
The Atomic Force Microscope captures the subtle changes on cell surfaces that conventional methods miss. This highresolution imaging yields detailed, accurate multi-parameter data that is instrumental in detecting and monitoring bladder cancer.
Machine Learning Analysis
Leveraging urine samples for non-invasive diagnostics, we extract and process cells that provide over a million data points per patient. Our method ensures high sample stability and preserves the cell’s surface for precise and reliable analysis.
Research & Developments
Cellens is collaborating with leading medical centers and cancer institutions on Octosense clinical studies
