Title | ||
---|---|---|
A CMOS Cellular Interface Array for Digital Physiology Featuring High-Density Multi-Modal Pixels and Reconfigurable Sampling Rate |
Abstract | ||
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With the recent pandemic, the necessity of digital physiology/pathology, a set of high-resolution 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-resolut... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/ISSCC42614.2022.9731629 | 2022 IEEE International Solid- State Circuits Conference (ISSCC) |
Keywords | DocType | Volume |
Pathology,Pandemics,Conferences,Biomarkers,Throughput,Physiology,Sensors | Conference | 65 |
ISBN | Citations | PageRank |
978-1-6654-2800-2 | 0 | 0.34 |
References | Authors | |
0 | 14 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adam Y. Wang | 1 | 0 | 0.34 |
Yuguo Sheng | 2 | 0 | 0.34 |
Wanlu Li | 3 | 0 | 0.34 |
Doohwan Jung | 4 | 0 | 0.34 |
Greg Junek | 5 | 0 | 0.34 |
Jongseok Park | 6 | 0 | 0.34 |
Dongwon Lee | 7 | 0 | 0.34 |
Mian Wang | 8 | 0 | 0.34 |
Sushila Maharjan | 9 | 0 | 0.34 |
Sagar Kumashi | 10 | 0 | 0.34 |
Jin Hao | 11 | 0 | 0.34 |
Yu Shrike Zhang | 12 | 0 | 1.35 |
Kevin Eggan | 13 | 0 | 0.34 |
Hua Wang | 14 | 214 | 52.30 |