Integrated CMOS Image Sensor based systems for Bio-Medical applications

用于生物医学应用的基于集成 CMOS 图像传感器的系统

• 批准号: RGPIN-2014-06001
• 负责人: YadidPecht, Orly
• 金额: $ 3.06万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=588745
• 关键词: Integrated; CMOS; Image; Sensor; based

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

拟议研究的目标是调查，设计和实施新的基于集成图像的传感器系统，用于生物医学应用，并理解和意图，它们在安全，能源和环境部门的应用。基于互补金属氧化物半导体（CMOS）的有源像素传感器（APS）在集成度、功率、可靠性和成本方面具有突出的优势，并且已经在前沿微电子和超大规模集成（VLSI）电路中开发和实现。这导致了新一代相机的开发，这些相机可以在人体内使用数小时，从而改善患者诊断和潜在结果。拟议的研究是变革性的，非侵入性的和前沿的。 这一建议将推动“智能”，高性能，紧凑，低成本的CMOS成像系统与真实的时间输出的发展。具体而言，我们将：1）利用我们在宽动态范围（WDR）传感器方面的成功，以及我们新型先进的高、低照度成像器[1]，开发一种简单的基于两个二极管的差分像素，可降低固定模式噪声（FPN）并支持在极端光照条件下成像。例如，存在于人体中（弱光），或者存在非常高水平的光并且像素变得饱和的地方。处理后者可以帮助解决图像捕获应用中的问题，例如，使用强光来避免安全摄像头的检测和图像捕获。2)基于我们用于神经元监测的光学滤波器[2]，开发一种全新的用于pH检测的光学滤波器-生物医学标记物。这种新型传感器/过滤器克服了人体胃肠道[GI]中使用的当前最先进探头的锑浸出危害。3）实现一种新的算法（已提交专利）[3]和WDR数据架构，从而降低该技术的功耗和处理要求。这项研究也有望提高显示质量，从而提高其对人类观察者的意义。这将使该技术能够移植到芯片实验室或移动的电话解决方案中，从而扩展其功能。 该提案基于独特的WDR图像捕获技术，并扩大了其可用性和适用性。预计这些技术将改善诊断，降低与最先进医疗技术相关的风险，更快，更准确，消耗更少的电力。 我们与医学研究人员合作的经验证明，我们的技术使他们能够以广泛的利益推进他们的领域。从我们实验室毕业的高素质人员拥有广泛的技能，实践经验，以及对研究如何转化为商业成功的理解。预计所取得的成果将转化为新技术，支持不同部门的不同最终用户网络。我们的业绩记录表明，我们可以超越目前市场上的产品。 参考文献： 1. 1. Y. Dattner，O. Yadid-Pecht，“采用宽动态范围扩展和低噪声读出的高和低光CMOS成像器”，IEEE传感器杂志，第12卷，第6期，第13 - 14页。2172-9，2012年6月。 2. L.布洛克斯坦角C. Luk，A. K. Mudraboyina，N. I.赛义德和O. Yadid-Pecht，“一种基于PVAc的二苯甲酮-8过滤器作为商业上可用的二向色性过滤器的替代品，用于通过Fura-2 AM监测活神经元中的钙活性“，IEEE Photonics Journal，2014年4月，第3期，1004 - 1012，2012年6月。 3. A. Hore'，C.A.奥菲利岛Yadid-Pecht，“A Joint Global and Local Tone Mapping Algorithm for Wide Dynamic Range Images”，International Journal Information Models & Analysis，Vol.2，No.1，2013。菊