Summary: UCLA researchers in the Department of Bioengineering have developed a computational imaging method that enables detection of 3D light signals using only a single camera sensor area for optimized surgical visualization. Background: Surgical procedures necessitate high precision imaging, especially when targeting specific anatomical structures. Current preoperative planning includes imaging from MRI, CT and ultrasound scans. These images may not reflect the dynamic changes that occur during the surgery, which can result in a technician's reliance on visual cues and feedback. This is especially problematic in procedures like craniotomies, where brain deformation makes preoperative images unreliable for locating structures. Fluorescent dyes have been introduced to aid real-time identification of targets. Imaging of wavelengths that offer the best visualization, such as the second near-infrared region (NIR-II), may be limited to 2D visualization, which is inadequate for comprehensive tissue imaging. NIR-II imaging offers advantages including reduced autofluorescence and the ability to image in deeper, softer tissues for applications such as tumor detection. However, there remains an unmet need for a novel, 3D imaging method enabling precise, real-time visualization capabilities for high stakes surgical procedures.
Innovation: UCLA researchers have developed a novel method titled Squeezed Light Field Microscopy (SLIM) to enable precise 3D imaging in real time in the NIR-II window. SLIM leverages computational imaging to provide high-resolution 3D images using a single, low-resolution camera sensor. This imaging modality is capable of depth retrieval, post-capture refocusing and extended depth of field, all necessary for surgical precision. An added benefit of SLIM beyond imaging capability is the reduced data redundancy of its output, resulting in a smaller dataset and fast readout. Ultimately, this technology represents a step forward in NIR-II imaging, improving intraoperative guidance and precision.
Potential Applications: • Neuro and cardiovascular procedures • Tumor visualization • 3D imaging of complex anatomic structures like brains, bones, and eyes • Preoperative planning
Advantages: • High resolution (micron-scale) imaging • Increased penetration depth – several centimeters into tissue • Improved signal-to-background ratios • Real-time 3D visualization • Reduced cost and data load
State of Development: The inventors have developed and demonstrated the technology in vitro and in vivo.
Related Papers: Wang, Z., Zhao, R., Wagenaar, D. A., Kang, W., Lee, C., Schmidt, W., ... & Gao, L. (2024). Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy. bioRxiv, 2024-03. https://doi.org/10.1101%2F2024.03.23.586416
Reference: UCLA Case No. 2024-153
Lead Inventor: Liang Gao, UCLA Professor of Bioengineering.