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Brandon K Ashley
Brandon K Ashley
PhD Candidate, Rutgers University
在 rutgers.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Wearable technology for chronic wound monitoring: current dressings, advancements, and future prospects
MS Brown, B Ashley, A Koh
Frontiers in bioengineering and biotechnology 6, 47, 2018
1912018
Skin-inspired, open mesh electrochemical sensors for lactate and oxygen monitoring
BK Ashley, MS Brown, Y Park, S Kuan, A Koh
Biosensors and Bioelectronics 132, 343-351, 2019
692019
Design of a multiplexed analyte biosensor using digital barcoded particles and impedance spectroscopy
S Prakash, BK Ashley, PS Doyle, U Hassan
Scientific reports 10 (1), 6109, 2020
212020
Point‐of‐critical‐care diagnostics for sepsis enabled by multiplexed micro and nano sensing technologies
BK Ashley, U Hassan
Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology 13 (5 …, 2021
182021
Time‐domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometer
BK Ashley, U Hassan
Biotechnology and bioengineering 118 (11), 4428-4440, 2021
132021
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
72021
Wearable technology for chronic wound monitoring: current dressings, advancements, and future prospects. Front Bioeng Biotechnol 2018; 6: 47
MS Brown, B Ashley, A Koh
72018
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
62022
Wearable technology for chronic wound monitoring: current dressings, advancements, and future prospects, Front. Bioeng. Biotechnol. 6 (April)(2018) 1–21
MS Brown, B Ashley, A Koh
62018
Frequency-Time Domain (FTD) Impedance Data Analysis to Improve Accuracy of Microparticle Enumeration in a Microfluidic Electronic Counter
BK Ashley, U Hassan
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
42021
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
32022
Flexible, stretchable lactate biosensor for chronic wound monitoring
BK Ashley
State University of New York at Binghamton, 2018
22018
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
12023
Investigating Cell-Particle Conjugate Orientations in a Microfluidic Channel to Ameliorate Impedance-based Signal Acquisition and Detection*
BK Ashley, I Mukerji, U Hassan
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
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
Surface-functionalized, electrically sensitive barcoded particles for microfluidic impedance detection of sepsis-related leukocyte receptors
BK Ashley
Rutgers The State University of New Jersey, School of Graduate Studies, 2023
2023
Digital filtering dissemination for optimizing impedance cytometry signal quality and counting accuracy
BK Ashley, U Hassan
Biomedical microdevices 24 (4), 36, 2022
2022
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
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