Követés
Brandon K Ashley
Brandon K Ashley
PhD Candidate, Rutgers University
E-mail megerősítve itt: rutgers.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2132018
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
802019
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
232021
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
222020
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
152021
Wearable technology for chronic wound monitoring: current dressings, advancements, and future prospects, Front. Bioeng. Biotechnol. 6 (2018) 1–21
MS Brown, B Ashley, A Koh
92018
Wearable technology for chronic wound monitoring: current dressings, advancements, and future prospects. Front Bioeng Biotechnol 2018; 6: 47
MS Brown, B Ashley, A Koh
92018
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
82022
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
82021
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
42022
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
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
22023
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
22021
Flexible, stretchable lactate biosensor for chronic wound monitoring
BK Ashley
State University of New York at Binghamton, 2018
22018
Method and System for Detecting One or More Probe Microparticles
U Hassan, B Ashley, M Javanmard
US Patent App. 18/761,686, 2025
2025
A 3-D Printed Microfluidic Device Enabling Efficient Bioparticle Conjugation in Biological Assays
MN Tahir, BK Ashley, U Hassan
2024 46th Annual International Conference of the IEEE Engineering in …, 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
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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