Built into the instrument

Deep-tissue sensing at the point of intervention.

Briteseed embeds optical sensing directly into surgical instruments, bringing tissue intelligence to the instrument–tissue interface without requiring the surgeon to interrupt the procedure or interpret a separate imaging system.

Sense→Understand→Act

Point-of-action tissue intelligence.

in.SPECT Grasper · system output · ureter identified
Live readout
Tissue optics

Every structure has an optical fingerprint.

Tissue interacts with light in measurable ways. Its composition, structure and physiology shape how strongly each wavelength is absorbed and scattered, giving every tissue a distinct optical signature. Briteseed reads that signature at the point of action.

Wavelength →Illustrative · not measured data
A foundational optical principle

Two wavelengths can reveal physiology.

Pulse oximetry uses two wavelengths of light to measure differences in hemoglobin absorption and estimate oxygen saturation.

2wavelengths of light
PULSE OXIMETRYOptical measurement
2
RED
NEAR-IR
Hemoglobin absorption→SpO₂
Depth of detection

Not just what's visible. What's underneath.

Traditional reflectance imaging primarily captures information returning from the tissue surface. Fluorescence can reveal subsurface targets, but signal must return to the camera. Briteseed measures light transmitted through tissue, enabling interrogation up to 10 mm deep.

Depths are illustrative and vary with wavelength, tissue type and system. Reflectance: typically sub-millimeter sensitivity. Fluorescence: example target at ~4 mm. Briteseed: tissue up to 10 mm held between the jaws.

ReflectanceTraditional HSIFluorescenceNIR fluorescenceTransmissionBriteseed MM0246810 <0.5 mmBASELINESurface-weighted ~4 mm8× DEEPERSignal must return Up to 10 mm20× DEEPERThrough the full thickness
Mixed intelligence

From light to understanding, in real time.

Briteseed combines advanced spectral and spatial analysis with deep learning to interpret the optical information captured at the instrument–tissue interface. The result is real-time feedback about critical structures and tissue characteristics.

SpectralSpatialMixedintelligenceDeep learningTissue insightsCritical structure identified
Next — The team

That's how it works. Meet the people behind it.

Meet the team →