| Toward point-of-care assessment of patient response: a portable tool for rapidly assessing cancer drug efficacy using multifrequency impedance cytometry and supervised machine … K Ahuja, GM Rather, Z Lin, J Sui, P Xie, T Le, JR Bertino, M Javanmard Microsystems & nanoengineering 5 (1), 34, 2019 | 58 | 2019 |
| Fully integrated wearable impedance cytometry platform on flexible circuit board with online smartphone readout A Furniturewalla, M Chan, J Sui, K Ahuja, M Javanmard Microsystems & nanoengineering 4 (1), 20, 2018 | 50 | 2018 |
| Biosensors and machine learning for enhanced detection, stratification, and classification of cells: A review H Raji, M Tayyab, J Sui, SR Mahmoodi, M Javanmard Biomedical Microdevices 24 (3), 26, 2022 | 30 | 2022 |
| Electronic classification of barcoded particles for multiplexed detection using supervised machine learning analysis J Sui, P Xie, Z Lin, M Javanmard Talanta 215, 120791, 2020 | 26 | 2020 |
| Electrical impedance as an indicator of microalgal cell health J Sui, F Foflonker, D Bhattacharya, M Javanmard Scientific reports 10 (1), 1251, 2020 | 23 | 2020 |
| Multi-frequency impedance sensing for detection and sizing of DNA fragments J Sui, N Gandotra, P Xie, Z Lin, C Scharfe, M Javanmard Scientific reports 11 (1), 6490, 2021 | 17 | 2021 |
| Nucleic acid quantification by multi-frequency impedance cytometry and machine learning M Kokabi, J Sui, N Gandotra, A Pournadali Khamseh, C Scharfe, ... Biosensors 13 (3), 316, 2023 | 10 | 2023 |
| Functionalization of hybrid surface microparticles for in vitro cellular antigen classification BK Ashley, J Sui, M Javanmard, U Hassan Analytical and bioanalytical chemistry 413, 555-564, 2021 | 7 | 2021 |
| Antibody-functionalized aluminum oxide-coated particles targeting neutrophil receptors in a multifrequency microfluidic impedance cytometer BK Ashley, J Sui, M Javanmard, U Hassan Lab on a Chip 22 (16), 3055-3066, 2022 | 6 | 2022 |
| A two-minute assay for electronic quantification of antibodies in saliva enabled through a reusable microfluidic multi-frequency impedance cytometer and machine learning analysis Z Lin, J Sui, M Javanmard Biomedical Microdevices 25 (2), 13, 2023 | 5 | 2023 |
| Use of multi-frequency impedance cytometry in conjunction with machine learning for classification of biological particles M Javanmard, K Ahuja, J Sui, JR Bertino US Patent 11,604,133, 2023 | 3 | 2023 |
| Aluminum Oxide-Coated Particle Differentiation Employing Supervised Machine Learning and Impedance Cytometry BK Ashley, J Sui, M Javanmard, U Hassan 2022 IEEE 17th International Conference on Nano/Micro Engineered and …, 2022 | 3 | 2022 |
| Multiplexed molecular biomarker analysis using an expanded library of nanoelectronically barcoded particles enabled through machine learning analysis J Sui, P Xie, Z Lin, M Javanmard 2018 IEEE Micro Electro Mechanical Systems (MEMS), 444-447, 2018 | 3 | 2018 |
| Multi-modal sensing with integrated machine learning to differentiate specific leukocytes targeted by electrically sensitive hybrid particles BK Ashley, J Sui, M Javanmard, U Hassan Biosensors and Bioelectronics 241, 115661, 2023 | 1 | 2023 |
| Methods, Devices and Systems for Quantifying Biomarkers M Fitzgerald, S Ansari, LIN Zhongtian, J Sui, M Javanmard, D Wu US Patent App. 17/250,026, 2021 | 1 | 2021 |
| Label-free DNA quantification by multi-frequency impedance cytometry and machine learning analysis J Sui, N Gandotra, P Xie, Z Lin, C Scharfe, M Javanmard 21st International Conference on Miniaturized Systems for Chemistry and Life …, 2020 | 1 | 2020 |
| A Two-Minute Assay for Electronic Quantification of Antibodies in Saliva Enabled Through Multi-Frequency Impedance Cytometry and Machine Learning Analysis Z Lin, J Sui, P Xie, K Ahuja, M Javanmard 2018 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head …, 2018 | 1 | 2018 |
| Clinical evaluation of a fully electronic microfluidic white blood cell analyzer J Sui, Z Lin, S Azizpour, F Chen, S Gaur, K Keene, F Soleimani, ... Plos one 19 (1), e0296344, 2024 | | 2024 |
| A Time-Frequency Deep Learning Classification Model for Metal Oxide Coated Particles MN Tahir, BK Ashley, J Sui, M Javanmard, U Hassan 2023 IEEE 32nd Microelectronics Design & Test Symposium (MDTS), 1-6, 2023 | | 2023 |
| MACHINE LEARNING ENABLES QUANTIFYING CELL-JANUS PARTICLE CONJUGATES THROUGH MICROFLOWING IMPEDANCE SIGNALS BK Ashley, J Sui, M Javanmard, U Hassan Micro total analysis systems: proceedings of the...[Mu] TAS International …, 2022 | | 2022 |
Mehdi JavanmardPaul and Mary Monroe Fellow, Professor, Rutgers University, New Brunswick, NJVerified email at rutgers.edu
