Electrical micro flow cytometry with LSTM and its application in leukocyte differential DOI

Huiwen Tan,

Xiaohong Chen,

Xukun Huang

и другие.

Cytometry Part A, Год журнала: 2023, Номер 105(1), С. 54 - 61

Опубликована: Сен. 15, 2023

Abstract This paper developed an electrical micro flow cytometry to realize leukocyte differentials leveraging a constrictional microchannel and deep neural network. Firstly, purified granulocytes, lymphocytes or monocytes traveled through the with cross‐sectional area marginally larger than individual cells produced large impedance variations by blocking focused electric field lines. By optimizing key elements (e.g., normalization, learning rate, batch size neuron number) of recurrent network (RNN), results leukocytes were analyzed establish differential system classification accuracy 95.2%. Then mixtures forced travel same microchannel, producing mixed profiles which classified into based on aforementioned system. As results, two from donor processed, comparable 57% versus 59% 37% 34% 6% 7% monocytes. These validated established network, providing new perspective differentiating white blood cytometry.

Язык: Английский

Label-free microfluidic cell sorting and detection for rapid blood analysis DOI Creative Commons
Nan Lü, Hui Min Tay, Chayakorn Petchakup

и другие.

Lab on a Chip, Год журнала: 2023, Номер 23(5), С. 1226 - 1257

Опубликована: Янв. 1, 2023

Blood tests are considered as standard clinical procedures to screen for markers of diseases and health conditions. However, the complex cellular background (>99.9% RBCs) biomolecular composition often pose significant technical challenges accurate blood analysis. An emerging approach point-of-care diagnostics is utilizing "label-free" microfluidic technologies that rely on intrinsic cell properties fractionation disease detection without any antibody binding. A growing body evidence has also reported dysfunction their biophysical phenotypes complementary hematoanalyzer analysis (complete count) can provide a more comprehensive profiling. In this review, we will summarize recent advances in label-free separation different components including circulating tumor cells, leukocytes, platelets nanoscale extracellular vesicles. Label-free single morphology, spectrochemical properties, dielectric parameters characteristics novel blood-based biomarkers be presented. Next, highlight research efforts combine microfluidics with machine learning approaches enhance sensitivity specificity studies, well innovative solutions which capable fully integrated sorting Lastly, envisage current future outlook platforms high throughput multi-dimensional identify non-traditional diagnostics.

Язык: Английский

Процитировано

79

Selectable encapsulated cell quantity in droplets via label-free electrical screening and impedance-activated sorting DOI Creative Commons
Jianwei Zhong, Minhui Liang, Qiang Tang

и другие.

Materials Today Bio, Год журнала: 2023, Номер 19, С. 100594 - 100594

Опубликована: Фев. 28, 2023

Single-cell encapsulation in droplets has become a powerful tool immunotherapy, medicine discovery, and single-cell analysis, thanks to its capability for cell confinement picoliter volumes. However, the purity throughput of are limited by random process, which resuts majority empty multi-cells droplets. Herein we introduce first label-free selectable quantity sorting system overcome this problem. The utilizes simple reliable electrical impedance based screening (98.9% accuracy) integrated with biocompatible acoustic select droplets, achieving 90.3% efficiency up 200 ​Hz throughput, removing (∼60% rejection) (∼90% rejection). We demonstrate use droplet improve ∼9-fold compared conventional process.

Язык: Английский

Процитировано

22

Convolutional Neural Network-Driven Impedance Flow Cytometry for Accurate Bacterial Differentiation DOI

Shuaihua Zhang,

Ziyu Han,

H. Jerry Qi

и другие.

Analytical Chemistry, Год журнала: 2024, Номер 96(11), С. 4419 - 4429

Опубликована: Март 6, 2024

Impedance flow cytometry (IFC) has been demonstrated to be an efficient tool for label-free bacterial investigation obtain the electrical properties in real time. However, accurate differentiation of different species bacteria by IFC technology remains a challenge owing insignificant differences data. Here, we developed convolutional neural networks (ConvNet) deep learning approach enhance accuracy and efficiency toward distinguishing various bacteria. First, more than 1 million sets impedance data (comprising 42 characteristic features each set) groups were trained ConvNet model. To improve analysis, Spearman correlation coefficient mean decrease random forest algorithm introduced eliminate feature interaction extract opacity related wall membrane structure as predominant differentiation. Moreover, 25 optimized selected with accuracies >96% three (bacilli, cocci, vibrio) >95% two bacilli (Escherichia coli Salmonella enteritidis), compared machine algorithms (complex tree, linear discriminant, K-nearest neighbor algorithms) maximum 76.4%. Furthermore, was achieved on spiked samples mixing ratios. The proposed learning-assisted analysis method exhibits advantages analyzing huge number capacity extracting within multicomponent information will bring about progress advances fields both biosensing analysis.

Язык: Английский

Процитировано

6

Efficient bioparticle extraction using a miniaturized inertial microfluidic centrifuge DOI

Yaohui Fang,

Shu Zhu,

Weiqi Cheng

и другие.

Lab on a Chip, Год журнала: 2022, Номер 22(18), С. 3545 - 3554

Опубликована: Янв. 1, 2022

A miniaturized centrifuge with integrated inertial spiral and two-stage serpentine channels, allowing for the efficient washing acquisition of concentrated bioparticles from background fluids.

Язык: Английский

Процитировано

22

Acoustofluidic Tweezers Integrated with Droplet Sensing Enable Multifunctional Closed‐Loop Droplet Manipulation DOI Creative Commons
Mingyang Sui, Huijuan Dong, Guanyu Mu

и другие.

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 11, 2024

Droplet manipulation technologies with surface acoustic waves attract significant attention for applications in fluid handling and bioanalysis. However, existing face challenges automation, precision, functional integration, limiting broader applications. In this work, a highly integrated droplet-sensing acoustofluidic tweezer is developed, incorporating orthogonally arranged slanted finger interdigital transducers custom-designed control detection circuit system. Using single device, enables switchable droplet detection, providing multifunctional closed-loop of on-chip microliter-scale droplets. The platform takes advantage the wideband frequency response characteristics transducers, along an automated algorithm, enabling high-precision central positions, edge contact diameters, number With feedback, various functions, including transportation, merging, mixing, splitting, internal particle enrichment, achieved first time on platform. This significantly enhances efficiency, fault tolerance process. provides innovative solution fields such as processing biosensing, demonstrating application potential.

Язык: Английский

Процитировано

5

Label-free single-cell analysis in microdroplets using a light-scattering-based optofluidic chip DOI
Li Liang, Minhui Liang, Zewen Zuo

и другие.

Biosensors and Bioelectronics, Год журнала: 2024, Номер 253, С. 116148 - 116148

Опубликована: Фев. 20, 2024

Язык: Английский

Процитировано

4

Label-Free Sensing of Cell Viability Using a Low-Cost Impedance Cytometry Device DOI Creative Commons
Bowen Yang, Chao Wang, Xinyi Liang

и другие.

Micromachines, Год журнала: 2023, Номер 14(2), С. 407 - 407

Опубликована: Фев. 9, 2023

Cell viability is an essential physiological status for drug screening. While cell staining a conventional analysis method, dye usually cytotoxic. Alternatively, impedance cytometry provides straightforward and label-free sensing approach the assessment of viability. A key element its electrodes. Most state-of-the-art electrodes are made expensive metals, microfabricated by lithography, with typical size ten microns. In this work, we proposed low-cost microfluidic device 100-micron wide indium tin oxide (ITO) to achieve comparable performance 10-micron Au The effectiveness was experimentally verified as 7 μm beads can be distinguished from 10 beads. To best our knowledge, lowest geometry ratio target unit in technology. Furthermore, test performed on MCF-7 cells. double differential has successfully differentiated living dead cells throughput ~1000 cells/s. low-cost, high-throughput could benefit screening, fundamental biological research other biomedical applications.

Язык: Английский

Процитировано

9

Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis DOI Creative Commons
Xing Liu, Xiaolin Zheng

Sensors, Год журнала: 2024, Номер 24(19), С. 6359 - 6359

Опубликована: Сен. 30, 2024

Cellular heterogeneity plays a significant role in understanding biological processes, such as cell cycle and disease progression. Microfluidics has emerged versatile tool for manipulating single cells analyzing their with the merits of precise fluid control, small sample consumption, easy integration, high throughput. Specifically, integrating microfluidics electrical techniques provides rapid, label-free, non-invasive way to investigate cellular at single-cell level. Here, we review recent development microfluidic-based strategies manipulation analysis, including dielectrophoresis- electroporation-based manipulation, impedance- AC electrokinetic-based methods, electrochemical-based detection methods. Finally, challenges future perspectives analysis are proposed.

Язык: Английский

Процитировано

3

Recent Advances in Microfluidic Impedance Detection: Principle, Design and Applications DOI Creative Commons
Yigang Shen,

Zhenxiao Wang,

Tie Zhen Ren

и другие.

Micromachines, Год журнала: 2025, Номер 16(6), С. 683 - 683

Опубликована: Июнь 5, 2025

Under the dual drivers of precision medicine development and health monitoring demands, real-time biosensing technologies has emerged as a key breakthrough in field life science analytics. Microfluidic impedance detection technology, achieved through integration microscale fluid manipulation bioimpedance spectrum analysis, enabled biological samples ranging from single cells to organ-level systems, now standing at forefront research. This review systematically summarizes core principles microfluidic modeling methods for cell equivalent circuits, system optimization strategies, recent research advancements applications. We first elucidate fundamental technologies, followed by comprehensive analysis cellular circuit model construction design strategies. Subsequently, we categorize applications based on sample types, elaborating respective progress existing challenges. concludes with prospective insights into future developmental trajectories. hope this work will provide novel perspectives advancing technology while stimulating interdisciplinary collaboration among researchers biology, medicine, chemistry, physics propel technological innovation collectively.

Язык: Английский

Процитировано

0

Rapid Screening of Urinary Tract Infection Using Microfluidic Inertial-Impedance Cytometry DOI
Chayakorn Petchakup, Yuan Yi Constance Chen, Hui Min Tay

и другие.

ACS Sensors, Год журнала: 2023, Номер 8(8), С. 3136 - 3145

Опубликована: Июль 21, 2023

Urinary tract infection (UTI) diagnosis based on urine culture for bacteriuria analysis is time-consuming and often leads to wastage of hospital resources due false-positive UTI cases. Direct cellular phenotyping (e.g., RBCs, neutrophils, epithelial cells) samples remains a technical challenge as low cell concentrations, characteristics (conductivities, pH, microbes) can affect the accuracy measurements. In this work, we report microfluidic inertial-impedance cytometry technique label-free rapid (<5 min) neutrophil sorting impedance profiling from directly. Based size-based inertial focusing effects, neutrophils are isolated, concentrated, resuspended in saline (buffer exchange) improve consistency impedance-based single-cell analysis. We first observed that both pH presence bacteria high-frequency measurements possibly changes nucleus morphology undergo NETosis phagocytosis, respectively. As proof-of-concept clinical testing, time, testing multiparametric putative (electrical size, membrane properties, distribution) non-UTI (n = 20) patients 20). A significant increase count was samples, biophysical parameters were used develop classifier with an area under receiver operating characteristic curve 0.84. Overall, developed platform facilitates culture-free screening which be further assess disease severity other urologic diseases electrical signatures.

Язык: Английский

Процитировано

8