preoperative imaging that is no longer accurate once surgery begins
subjective visual assessment of tissue
incomplete or inconsistent fluorescence signals
In brain tumors, this results in:
residual infiltrative disease at the margins
high local recurrence rates
a forced trade-off between aggressive resection and neurological safety
Bold Statement
Cancer recurrence is not a failure of surgical skill — it is a failure of visibility.
Detects tumor tissue beyond conventional 'incorrect' margins
Quantifies tissue biology instead of relying on subjective visual cues
Provides immediate, actionable feedback to the surgeon
Integrates into existing surgical workflows without disruption
This is not another imaging modality. It is a new way of seeing tissue.
Spine and skull base tumors
Head & neck oncology
Solid tumor margin assessment
Biopsy guidance and tissue characterization
Gliomas and other infiltrative tumors
Marign detection where recurrence originates
Real-time guidance during resection
Quantitative, NOT qualitative
Real-time, NOT scanning
Exogenous and intrinsic signals
Designed for surgery, NOT the lab
Advanced optical acquisition captures rich spectral information from tissues
AI-driven algorithms analyze and classify tissue signatures
Surgeons receive immediate, intuitive feedback during resection
SURGICAL IMAGING TECHNOLOGIES