| Air quality monitoring using mobile microscopy and machine learning YC Wu, A Shiledar, YC Li, J Wong, S Feng, X Chen, C Chen, K Jin, ... Light: Science & Applications 6 (9), e17046-e17046, 2017 | 140 | 2017 |
| Machine learning and computation-enabled intelligent sensor design Z Ballard, C Brown, AM Madni, A Ozcan Nature Machine Intelligence 3 (7), 556-565, 2021 | 119 | 2021 |
| Resolution enhancement in scanning electron microscopy using deep learning K de Haan, ZS Ballard, Y Rivenson, Y Wu, A Ozcan Scientific reports 9 (1), 12050, 2019 | 113 | 2019 |
| Recent progress in Lyme disease and remaining challenges JR Bobe, BL Jutras, EJ Horn, ME Embers, A Bailey, RL Moritz, Y Zhang, ... Frontiers in medicine 8, 666554, 2021 | 83 | 2021 |
| Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors ZS Ballard, HA Joung, A Goncharov, J Liang, K Nugroho, D Di Carlo, ... NPJ digital medicine 3 (1), 66, 2020 | 82 | 2020 |
| Point-of-care serodiagnostic test for early-stage Lyme disease using a multiplexed paper-based immunoassay and machine learning HA Joung, ZS Ballard, J Wu, DK Tseng, H Teshome, L Zhang, EJ Horn, ... ACS nano 14 (1), 229-240, 2019 | 82 | 2019 |
| Computational sensing using low-cost and mobile plasmonic readers designed by machine learning ZS Ballard, D Shir, A Bhardwaj, S Bazargan, S Sathianathan, A Ozcan ACS nano 11 (2), 2266-2274, 2017 | 78 | 2017 |
| based multiplexed vertical flow assay for point-of-care testing HA Joung, ZS Ballard, A Ma, DK Tseng, H Teshome, S Burakowski, ... Lab on a Chip 19 (6), 1027-1034, 2019 | 53 | 2019 |
| Optical metrics of the extracellular matrix predict compositional and mechanical changes after myocardial infarction KP Quinn, KE Sullivan, Z Liu, Z Ballard, C Siokatas, I Georgakoudi, ... Scientific reports 6 (1), 35823, 2016 | 50 | 2016 |
| Neural network-based on-chip spectroscopy using a scalable plasmonic encoder C Brown, A Goncharov, ZS Ballard, M Fordham, A Clemens, Y Qiu, ... ACS nano 15 (4), 6305-6315, 2021 | 44 | 2021 |
| Stand-off biodetection with free-space coupled asymmetric microsphere cavities Z Ballard, MD Baaske, F Vollmer Sensors 15 (4), 8968-8980, 2015 | 37 | 2015 |
| Contact lens-based lysozyme detection in tear using a mobile sensor Z Ballard, S Bazargan, D Jung, S Sathianathan, A Clemens, D Shir, ... Lab on a Chip 20 (8), 1493-1502, 2020 | 27 | 2020 |
| Flexible plasmonic sensors D Shir, ZS Ballard, A Ozcan IEEE Journal of Selected Topics in Quantum Electronics 22 (4), 12-20, 2015 | 23 | 2015 |
| Mobile technologies for the discovery, analysis, and engineering of the global microbiome ZS Ballard, C Brown, A Ozcan ACS nano 12 (4), 3065-3082, 2018 | 18 | 2018 |
| Off-axis holography and micro-optics improve lab-on-a-chip imaging ZS Ballard, Y Zhang, A Ozcan Light: Science & Applications 6 (9), e17105-e17105, 2017 | 17 | 2017 |
| Nucleic acid quantification in the field Z Ballard, A Ozcan Nature biomedical engineering 2 (9), 629-630, 2018 | 16 | 2018 |
| Wearable optical sensors ZS Ballard, A Ozcan Mobile health: Sensors, analytic methods, and applications, 313-342, 2017 | 15 | 2017 |
| Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay A Goncharov, HA Joung, R Ghosh, GR Han, ZS Ballard, Q Maloney, ... Small 19 (51), 2300617, 2023 | 7 | 2023 |
| Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors. npj Digital Med. 3, 66 ZS Ballard, HA Joung, A Goncharov, J Liang, K Nugroho, D Di Carlo, ... | 6 | 2020 |
| SPIE BiOS L Li, L Wang, C Salvador-Morales | 6 | 2012 |
