Human

Lymph Node Imaging

About

General Objective

Develop a cancer specimen imaging system to provide immediate feedback to head and neck surgeons on the likelihood of residual cancer, allowing for extended excisions if necessary.

Imaging Technology Development
The continuous development and enhancement of imaging technologies to improve the accuracy and efficiency of cancer detection and treatment.
Clinical Applications
Practical implementation of advanced imaging systems in clinical settings to provide real-time feedback during surgical procedures, enhancing patient outcomes.
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Research Projects

Research Projects

dAFR: imaging technology

Clinically test an intraoperative dual-aperture fluorescence ratio (dAFR) imaging system and automated data analysis (ADA) approach that can accurately locate inadequate (positive and close) surgical margins on the entire basal surface of resected-tissue specimens in <1 min during head and neck squamous cell cancer (HNSCC) surgery.

ADEPT: imaging technology

The overall objective of this proposal is to, refine, build, deploy, and evaluate an “agent-dependent enhanced fluorescence projection tomographic” (ADEPT) imaging technology/protocol for detection of cancer spread to sentinel lymph nodes (SLN)—first tumor draining lymph nodes.

Photon Counting System

Development of a software system to control and test phantoms using photon counting techniques. This facilitates the calibration and validation of imaging systems used in biomedical applications, ensuring accurate real-time feedback during cancer surgeries.

Our Team

Meet Our Research Team

Antonio Zhong Qiu

Student

José Jaén Jaén

Student

Alejandro González

Student

Kenneth Tichauer

Doctor of Philosophy (PhD) Medical Biophysics

Simon Parschat

PhD. Student, Researcher

Cody Rounds

PhD Candidate

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Coded By The Panamanian