Key Innovation
Optical imaging and machine learning compressed tissue analysis from days to minutes.
Intra-Operative Tissue Pathology
Client
BlackLight Surgical
Practice Areas
Core Disciplines
Overview
BlackLight Surgical engaged Triple Ring to develop a high-speed biochemical imaging platform designed for intra-operative tissue analysis. The system leveraged picosecond pulsing laser technology and machine learning workflows to enable rapid tissue identification during surgical procedures.
The resulting platform supports real-time clinical decision making by allowing clinicians to distinguish between normal and diseased tissue directly in the operating suite.
Challenge
The system required integration of advanced optical imaging technology capable of performing rapid biochemical analysis during surgery. Reliable performance was required across demanding clinical environments and complex workflows.
Delivering this capability required precise integration of optical, mechanical, software, and machine learning systems into a clinically deployable architecture.
Intra-Operative Tissue Pathology
Overview
BlackLight Surgical engaged Triple Ring to develop a high-speed biochemical imaging platform designed for intra-operative tissue analysis. The system leveraged picosecond pulsing laser technology and machine learning workflows to enable rapid tissue identification during surgical procedures.
The resulting platform supports real-time clinical decision making by allowing clinicians to distinguish between normal and diseased tissue directly in the operating suite.
Challenge
The system required integration of advanced optical imaging technology capable of performing rapid biochemical analysis during surgery. Reliable performance was required across demanding clinical environments and complex workflows.
Delivering this capability required precise integration of optical, mechanical, software, and machine learning systems into a clinically deployable architecture.
Client
BlackLight Surgical
Practice Areas
Core Disciplines
Solution
Triple Ring assembled multidisciplinary engineering and scientific teams to design and integrate the imaging platform using structured development and validation methodologies.
Technical execution focused on:
- Integrating laser-based optical imaging technologies capable of rapid tissue analysis
- Developing machine learning workflows that supported real-time tissue classification
- Using simulation and modeling tools to guide system design and performance optimization
- Establishing ISO 13485-compliant design and documentation processes
Outcome
Triple Ring delivered a fully integrated intra-operative biochemical imaging platform supporting clinical studies and real-time tissue visualization.
The system was developed to ISO 13485 standards and documented within a Quality Management System transferred to BlackLight Surgical, enabling deployment of advanced intra-operative imaging workflows.
Triple Ring Talent
The Story Behind the Innovation
At Triple Ring, we draw on a deep bench of expertise across diverse disciplines matched to each innovation challenge. For this project, our team combined high-speed laser optical imaging, machine learning, mechanical engineering, and quality systems expertise to develop a fully integrated intra-operative tissue analysis platform capable of distinguishing healthy from diseased tissue in real time.
Todd, Cameran, and Shehadeh collaborated with many talented colleagues across Triple Ring and BlackLight Surgical on this project.
Todd Harris, PhD
Physics & Optical Science
Dr. Todd Harris applies expertise in optics and imaging physics to the development of advanced sensing and illumination technologies. His work combines optical modeling with system design, helping teams translate complex physical principles into dependable, high-performance solutions.
Cameran Casale
Bioengineering
Cameran Casale contributes to the development of imaging, microfluidic, and diagnostic technologies across multidisciplinary programs. Her work supports system integration and testing efforts, helping teams refine complex devices for reliable performance in research and clinical environments.
Shehadeh Dajani
Aerospace & Mechanical Engineering
Shehadeh Dajani supports the development of safety-critical embedded systems used in regulated medical technologies. His work spans software and system integration across feasibility, clinical, and production stages, helping ensure reliable performance throughout the development lifecycle.
