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Integrating impedance cytometry with other microfluidic tools towards multifunctional single-cell analysis platforms

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Dielectrophoretic enrichment of live chemo-resistant circulating-like pancreatic cancer cells from media of drug-treated adherent cultures of solid tumors

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High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications

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A microfluidic impedance cytometry device for robust identification of H. pluvialis

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On the compatibility of single-cell microcarriers (nanovials) with microfluidic impedance cytometry

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Single-cell impedance spectroscopy of nucleated cells

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Electrical impedance tomography (EIT)-based intracellular conductivity imaging for non-invasive cell detection

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Label-free high-throughput impedance-activated cell sorting

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Advancing Precision Medicine: VAE Enhanced Predictions of Pancreatic Cancer Patient Survival in Local Hospital

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Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis

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Biosensors, 2023, 13, 884
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Machine Learning-Enhanced Microfluidic Impedance Platform for Rare Cell Analysis

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Microfluidic impedance flow cytometer leveraging virtual constriction microchannel and its application in leukocyte differential

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Microsyst Nanoeng, 2024, 10
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Impact of buffer composition on biochemical, morphological and mechanical parameters: A tare before dielectrophoretic cell separation and isolation

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Comparison of Multiple Machine Learning Models for the Classification of Cell States Based on Impedance Features

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In Vitro and In Vivo Effects of Synthesis Novel Phenoxyacetamide Derivatives as Potent Apoptotic Inducer against HepG2 Cells through PARP-1 Inhibition

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Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning

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Multiparametric single-cell biophysical cytometry under tunable viscoelastic extensional flows for classification of T-cell lymphomas on their nuclear phenotypes

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Optimization techniques in microfluidic impedance cytometry toward bacteria and submicron particles analysis-A review

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Recent advances in non-optical microfluidic platforms for bioparticle detection

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On-Chip Integration of Impedance Cytometry for Inline Optimization of Dielectrophoretic Separations on Multiple Cellular Biophysical Metrics

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Classification between Normal and Cancerous Human Urothelial Cells by Using Micro-Dimensional Electrochemical Impedance Spectroscopy Combined with Machine Learning

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Machine learning classification of cellular states based on the impedance features derived from microfluidic single-cell impedance flow cytometry

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Machine‐Learning‐Aided Advanced Electrochemical Biosensors

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The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development

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MuSARCyto: Multi‐Head Self‐Attention‐Based Representation Learning for Unsupervised Clustering of Cytometry Data

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Microsystem Advances through Integration with Artificial Intelligence

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Machine learning implementation strategy in imaging and impedance flow cytometry

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Biomicrofluidics, 2023, 17
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Supervised learning on impedance cytometry data for label-free biophysical distinction of pancreatic cancer cells versus their associated fibroblasts under gemcitabine treatment

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An Effective Recognition Method for Particle Coincidence in Double Differential Impedance Cytometry

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Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning

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Sensors, 2023, 23, 1001
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Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning

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Journal of Pharmaceutical Sciences, 2024, 113, 2114
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Artificial Intelligence enabled data analysis for microfluidic impedance flow cytometry: a comprehensive review

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Spatial topology of organelle is a new breast cancer cell classifier

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iScience, 2023, 26, 107229
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Label‐Free Impedance Analysis of Induced Pluripotent Stem Cell‐Derived Spinal Cord Progenitor Cells for Rapid Safety and Efficacy Profiling

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AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery

Junchi Liu, Hanze Du, Lei Huang, Wangni Xie, Kexuan Liu, Xue Zhang, Shi Chen, Yuan Zhang, Daowei Li and Hui Pan

ACS Appl. Mater. Interfaces, 2024, 16, 38832
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Evaluating the Accuracy of Impedance Flow Cytometry with Cell-Sized Liposomes

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ACS Sens., 2023, 8, 2681
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A Derivative-Based Framework for Real-Time Signal Processing and Event Detection in Impedance Flow Cytometry

Brendan Wurts, Charlie Jindrich, Yu Gong, Joshua Ojih, Ming Hu, Kun Yin and Leilei Shi

Sensors, 2025, 25, 7252
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A High-Accuracy Single-Cell Impedance Measurement System for Electrical Impedance Spectroscopy With Movable Electrical Tweezers

Kaicheng Huang, Zhen Liu, Luojia Jiang, Yu Liu, Haiyue Ye and Xing Cheng

IEEE Trans. Instrum. Meas., 2026, 75, 1
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Deep Learning Techniques for Pancreatic Cancer Analysis: A Systematic Review and Implantation Prerequisites

Jasmine Chhikara, Nidhi Goel and Neeru Rathee

Procedia Computer Science, 2024, 235, 3118
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Rapid Assessment of Susceptibility of Bacteria and Erythrocytes to Antimicrobial Peptides by Single-Cell Impedance Cytometry

Cassandra Troiano, Adele De Ninno, Bruno Casciaro, Francesco Riccitelli, Yoonkyung Park, Luca Businaro, Renato Massoud, Maria Luisa Mangoni, Paolo Bisegna, Lorenzo Stella and Federica Caselli

ACS Sens., 2023, 8, 2572
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Machine learning empowered multi-stress level electromechanical phenotyping for high-dimensional single cell analysis

Minhui Liang, Qiang Tang, Jianwei Zhong and Ye Ai

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Supervised Machine Learning for Cell Classification in Microwave Flow Cytometers

Carl Ehrett, Matthew Keagle, Benjamin Braun, Nitya Harikumar, Jeffrey Osterberg, Neelima Dahal and Pingshan Wang

IEEE Sensors J., 2025, 25, 18440
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Electrical characterization of single tumor cells with high accuracy using a low-cost microfluidic impedance cytometry

Hong Wang, Xiao-Dong Ren, Wei-Long Kong, Xian-Ge Sun, Chun-Yan Wang, Ning Su, Jin-Mi Li, Ruo-Xu Li, Hao-Zheng Li, Tai-Hang Wu and Qing Huang

Biosensors and Bioelectronics, 2026, 310, 118858
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Microfluidic impedance cytometer with face-to-face electrodes for multi-parameter phenotyping and accurate discrimination of cells

Shu Zhu, Zheng Zhou, Nan Xiang and Zhonghua Ni

Sensors and Actuators B: Chemical, 2026, 448, 138978
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Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning

Caroline Ferguson, Yu Zhang, Cristiano Palego and Xuanhong Cheng

Sensors, 2023, 23, 5990
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Emodin nanoparticles-loaded injectable hydrogel with deep tumor penetration for triple-negative breast cancer therapy

Jia Liu, Shanghua Xiao, Chengyu Huang, Xueyan Zhang, Ruizhao Cai, Shoukang Qu, Yutao Peng and Lingfeng Xie

Biomaterials Advances, 2025, 177, 214380
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Electrical micro flow cytometry with LSTM and its application in leukocyte differential

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A perspective on microfluidic impedance cytometry in cellular biophysical property analysis

Chen Ni, Zhonghua Ni and Nan Xiang

Biomicrofluidics, 2025, 19
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A review on intelligent impedance cytometry systems: Development, applications and advances

Tao Tang, Trisna Julian, Doudou Ma, Yang Yang, Ming Li, Yoichiroh Hosokawa and Yaxiaer Yalikun

Analytica Chimica Acta, 2023, 1269, 341424
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Impedance‐Based Multimodal Electrical‐Mechanical Intrinsic Flow Cytometry

Yongxiang Feng, Junwen Zhu, Huichao Chai, Weihua He, Liang Huang and Wenhui Wang

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Utilization of convolutional neural networks to analyze microscopic images for high-throughput screening of mesenchymal stem cells

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Open Life Sciences, 2024, 19
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Classification of pancreatic cancer classification using deep learning

Ponduri Vasanthi, Shaik Dhanish Raza, Pagadala Venkata Lakshmi, Shaik Arif and Velam Yagna Manikanta

DJHM, 2025, 2, 16
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Neural Network‐Enabled Multiparametric Impedance Signal Templating for High throughput Single‐Cell Deformability Cytometry Under Viscoelastic Extensional Flows

Javad Jarmoshti, Abdullah‐Bin Siddique, Aditya Rane, Shaghayegh Mirhosseini, Sara J. Adair, Todd W. Bauer, Federica Caselli and Nathan S. Swami

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