Integrated CMOS Image Sensor based systems for Bio-Medical applications

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The objective of the proposed research is to investigate, design and implement new integrated image based sensor systems for biomedical applications, with the understanding and intent that they have application in the security, energy and environment sectors. Complementary metal oxide semiconductor (CMOS) based active pixel sensors (APS) have outstanding advantages in integration, power, reliability and cost and have been developed and implemented in leading edge microelectronics and Very Large Scale Integration (VLSI) circuitry. This has led to the development of a new generation of cameras that can be used within the human body for many hours, thus improving patient diagnosis and potentially outcomes. The proposed research is transformative, non-invasive and cutting edge. This proposal will advance the development of “smart,” high performance, compact, and low-cost CMOS based imager systems with real time output. Specifically, we will: 1) leverage our success with wide dynamic range (WDR) sensors, and our novel advanced High and Low Light Level imager [1], to develop a simple two diode based differential based pixel that reduces Fixed Pattern Noise (FPN) and supports imaging in extreme light level conditions. For example, as present in the human body (low light), or where there are very high levels of light and pixels become saturated. Dealing with the latter can help to solve problems in image capture applications where, for example, bright light is used to avoid detection and image capture from security cameras. 2) Build on our optical filter for neuron monitoring [2], and develop an entirely new optical filter for pH detection - a biomedical marker. This new sensor/filter overcomes the hazards of antimony leaching from the current state-of-the-art probes used in the human gastro-intestinal [GI] tract. And 3) Implement a novel algorithm (patent submitted) [3] and architecture for WDR data, thereby reducing the technology’s power and processing requirements. This research is also expected to increase display quality, and thus its meaningfulness to the human observer. This would enable porting the technology into lab-on-a-chip or mobile phone solutions, expanding their capabilities. The proposal builds on unique WDR image capture technology, and broadens its usability and applicability. The proposed technologies are expected to improve diagnosis, reduce the risks associated with state-of-the-art medical technologies, be faster, more accurate, and consume less power. Our experience in working with medical researchers proves that our technologies are enabling them to advance their fields with far ranging benefits. The highly qualified personnel graduating from our Lab have a broad set of skills, hands-on experience, and an understanding of how research translates into commercial success. It is expected that the results obtained will translate into novel technologies supporting a diverse network of end-users in diverse sectors. Our track record establishes that we can surpass what is currently available in the market. References: 1. 1. Y. Dattner, O. Yadid-Pecht, "High and Low Light CMOS Imager Employing Wide Dynamic Range Expansion and Low Noise Readout", IEEE Sensors Journal, Vol. 12, No. 6, pp. 2172-9, June 2012. 2. L. Blockstein, C. C. Luk, A. K. Mudraboyina, N. I. Syed and O. Yadid-Pecht, "A PVAc based Benzophenone-8 Filter as an Alternative to Commercially Available Dichroic Filters for Monitoring Calcium Activity in Live Neurons via Fura-2 AM ", IEEE Photonics Journal, Vol .4, No. 3, pp. 1004 - 1012, June 2012. 3. A. Hore’, C.A. Ofili, O. Yadid-Pecht, “A Joint Global and Local Tone Mapping Algorithm for Displaying Wide Dynamic Range Images”, International Journal Information Models & Analysis, Vol. 2, No.1, 2013. Ju