A CMOS Cellular Interface Array for Digital Physiology Featuring High-Density Multi-Modal Pixels and Reconfigurable Sampling Rate

📋 论文概要

提出了一种用于数字生理学的CMOS细胞接口阵列，集成了高密度多模态像素和可重构采样电路，以实现高分辨率细胞/组织级图像采集和远程分析诊断。解决了传统生理学检测中分辨率低、模式单一、无法远程化的问题。

💡 主要创新点

• 高密度多模态像素设计，允许同时采集多种生理信号（如电生理、光学等）。
• 可重构采样架构，支持灵活配置采样率和分辨率以适应不同检测需求。

🏷 关键词

📄 原文摘要

Jongseok Park4, Dongwon Lee1, Mian Wang2, Sushila Maharjan2, Sagar Kumashi1, Jin Hao2, Yu Shrike Zhang2, Kevin Eggan5, Hua Wang1,6 Georgia Institute of Technology, Atlanta, GA Brigham and Women’s Hospital, Harvard University, Cambridge, MA 3 Qualcomm, San Diego, CA 4 Intel, Hillsboro, OR 5 Harvard University, Cambridge, MA 6 ETH Zürich, Zurich, Switzerland 1 2 *Equally Credited Authors (ECAs) With the recent pandemic, the necessity of digital physiology/pathology, a set of highresolution cellular/tissue-level images uploaded to the cloud for remote analytics and diagnostics, has skyrocketed as in-person lab services are limited by processing throughputs and increased exposure risks to patients/medical professionals [1]-[2]. Presently, cellular physiology diagnoses rely on high-resolution medical imaging and when translated to a cellular/tissue-level, these images, albeit with different biomarkers,

👥 作者与机构

Adam Y. Wang*1, Yuguo Sheng*1, Wanlu Li2, Doohwan Jung3, Greg Junek1,