A 110 × 64 pixel CMOS image sensor integrated with pixelated spectral interference filters is used for image guided surgery. The sensor operates with short exposure times for capturing visible light using blue, green, and red pixelated interference filters, and long exposure time for capturing near-infrared fluorescence with a co-located, pixelated NIR filter. The sensor was used to successfully detect the fluorescence of ICG accumulation in sentinel lymph node on patients with breast cancer.

Near infra-red (NIR) fluorescence imaging offers high sensitivity and specificity for cancer detection and tumor margin localization. In this paper, a compact and wearable NIR fluorescence imaging system (FIS) for image guided surgery is presented. The proposed FIS captures 27 frames per second of both NIR and visible spectrum data, allowing for minimum detection of 10nM of ICG concentration. The design tradeoffs of the complete system are carefully analyzed. The performance of the proposed FIS is evaluated under both sensitivity test and experimental mouse study. The imaging system is currently used in clinical trials for imaging sentinel lymph nodes in breast cancer and melanoma patients.

This demonstration presents a compact and wearable NIR fluorescence imaging system (FIS) for image guided surgery. The proposed FIS captures 27 frames per second of both NIR and visible spectrum data, allowing for minimum detection of 10nM of ICG concentration. The imaging system is currently used in clinical trials for imaging sentinel lymph nodes in breast cancer and melanoma patients.

In this paper, we present recent work on bioinspired polarization imaging sensors and their applications in biomedicine. In particular, we focus on three different aspects of these sensors. First, we describe the electro-optical challenges in realizing a bioinspired polarization imager, and in particular, we provide a detailed description of a recent low-power complementary metal-oxide-semiconductor (CMOS) polarization imager. Second, we focus on signal processing algorithms tailored for this new class of bioinspired polarization imaging sensors, such as calibration and interpolation. Third, the emergence of these sensors has enabled rapid progress in characterizing polarization signals and environmental parameters in nature, as well as several biomedical areas, such as label-free optical neural recording, dynamic tissue strength analysis, and early diagnosis of flat cancerous lesions in a murine colorectal tumor model. We highlight results obtained from these three areas and discuss future applications for these sensors.