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.

We have designed, fabricated, and tested a division-of-focal-plane polarimeter capable of simultaneously imaging both spectral and polarization information at 30 frames per second. The imaging sensor, composed of 1300 by 800 imaging elements, each containing three vertically stacked photodetectors, is covered by pixelated nanowire polarization filters at four different orientations offset by 45°. The polarimeter has a dynamic range of 62 dB and captures intensity, angle, and degree of linear polarization in three visible spectrum bands while consuming 700 mW of power.

Summary form only given. We have designed, fabricated, and tested a division-of-focal-plane polarimeter capable of simultaneously imaging both spectral and polarization information at 30 frames per second. The imaging sensor, composed of 1300 by 800 imaging elements, each containing three vertically stacked photodetectors, is covered by pixelated nanowire polarization filters at four different orientations offset by 45°. The polarimeter has a dynamic range of 62 dB and captures intensity, angle, and degree of linear polarization in three visible spectrum bands while consuming 700 mW of power.

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.

Recent advancements in nanotechnology have allowed for the emergence of integrated polarization imaging sensors. These sensors capture polarization properties of the optical field in high resolution and at every imaging frame. Signal processing algorithms for polarization imaging sensors are at its infancy and mandate new research in order to take advantage of the capabilities offered by this class of sensors. In this paper, we present gradient based interpolation algorithm for polarization sensors and evaluate its performance against a group of previously published interpolation methods.