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

Label-free microfluidic cell sorting and detection for rapid blood analysis DOI

Nan Lü, Hui Min Tay, Chayakorn Petchakup

et al.

Lab on a Chip, Journal Year: 2023, Volume and Issue: 23(5), P. 1226 - 1257

Published: Jan. 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.

Language: Английский

Citations

Advances in Microfluidics: Technical Innovations and Applications in Diagnostics and Therapeutics DOI

Guillaume Aubry, Hyun Jee Lee, Hang Lu

et al.

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(1), P. 444 - 467

Published: Jan. 10, 2023

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTAdvances in Microfluidics: Technical Innovations and Applications Diagnostics TherapeuticsGuillaume AubryGuillaume AubrySchool of Chemical & Biomolecular Engineering, Georgia Institute Technology, Atlanta, 30332, United StatesMore by Guillaume AubryView Biographyhttps://orcid.org/0000-0001-7828-8508, Hyun Jee LeeHyun LeeSchool LeeView Biographyhttps://orcid.org/0000-0001-9662-2063, Hang Lu*Hang LuSchool StatesPetit for Bioengineering Bioscience, States*Email: [email protected]More LuView Biographyhttps://orcid.org/0000-0002-6881-660XCite this: Anal. Chem. 2023, 95, 1, 444–467Publication Date (Web):January 10, 2023Publication History Published online10 January 2023Published inissue 10 2023https://pubs.acs.org/doi/10.1021/acs.analchem.2c04562https://doi.org/10.1021/acs.analchem.2c04562review-articleACS PublicationsCopyright © 2023 American SocietyRequest reuse permissionsArticle Views3385Altmetric-Citations2LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum full text article downloads since November 2008 (both PDF HTML) across all institutions individuals. These metrics regularly updated to reflect usage leading up last few days.Citations number other articles citing this article, calculated Crossref daily. Find more information about citation counts.The Altmetric Attention Score is a quantitative measure attention that research has received online. Clicking on donut icon will load page at altmetric.com with additional details score social media presence given article. how calculated. Share Add toView InAdd Full Text ReferenceAdd Description ExportRISCitationCitation abstractCitation referencesMore Options onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:3D printing,Biotechnology,Fluid dynamics,Liquids,Sensors Get e-Alerts

Language: Английский

Citations

Microfluidic Impedance Cytometry Enabled One‐Step Sample Preparation for Efficient Single‐Cell Mass Spectrometry DOI

Junwen Zhu,

Siyuan Pan, Huichao Chai

et al.

Small, Journal Year: 2024, Volume and Issue: 20(26)

Published: March 14, 2024

Abstract Single‐cell mass spectrometry (MS) is significant in biochemical analysis and holds great potential biomedical applications. Efficient sample preparation like sorting (i.e., separating target cells from the mixed population) desalting moving off non‐volatile salt solution) urgently required single‐cell MS. However, traditional methods suffer complicated operation with various apparatus, or insufficient performance. Herein, a one‐step strategy by leveraging label‐free impedance flow cytometry (IFC) based microfluidics proposed. Specifically, IFC framework to characterize sort single‐cells adopted. Simultaneously sorting, cell transferred local high‐salinity buffer MS‐compatible solution. In this way, are achieved collected can be directly fed for MS analysis. A high efficiency (>99%), cancer purity (≈87%), whole workflow of impedance‐based separation normal (MCF‐10A) (MDA‐MB‐468) verified. As standalone module, microfluidic chip compatible variety methods, envisioned provide new paradigm efficient preparation, further multi‐modal electrical metabolic) characterization single‐cells.

Language: Английский

Citations

Tutorial on impedance and dielectric spectroscopy for single-cell characterisation on microfluidic platforms: theory, practice, and recent advances DOI

Fatemeh Dadkhah Tehrani, Michael O’Toole, David J. Collins

et al.

Lab on a Chip, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Integration of low-frequency electrical impedance and broadband electromagnetic sensing with microfluidic devices enables high-throughput analysis cell size, membrane properties, intracellular characteristics.

Language: Английский

Citations

Advances in microfluidic strategies for single-cell research DOI

Yixin Liu,

Zihui Fan,

Liang Qiao

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2022, Volume and Issue: 157, P. 116822 - 116822

Published: Nov. 8, 2022

Language: Английский

Citations

Extensional-Flow Impedance Cytometer for Contactless and Optics-Free Erythrocyte Deformability Analysis DOI

Riccardo Reale, Adele De Ninno,

Tiziana Nepi

et al.

IEEE Transactions on Biomedical Engineering, Journal Year: 2022, Volume and Issue: 70(2), P. 565 - 572

Published: Aug. 8, 2022

Deformability is an essential feature of red blood cells (RBCs), enabling them to undergo significant shape change in response external forces. Impaired erythrocyte deformability associated with several pathologic conditions, and quantitative measurement RBC critical understanding diagnosing related diseases. Whereas traditional approaches cell mechanical characterization generally have limited throughput, emerging microscale technologies are opening new opportunities for high-throughput cytometry at the single-cell level.In this work, we propose innovative microfluidic system based on (i) a hyperbolic microchannel induce deformation by extensional flow, (ii) electrical sensing zone coplanar electrodes evaluate deformed shape.RBC under flow achieved, quantified means anisotropy index, throughput 300 cell/s. Measurements healthy chemically stiffened RBCs demonstrate that index can be used characterize deformability, as alternative indices high-speed image processing.A contactless optics-free approach analysis has been presented.Due its simplicity potential integration, proposed holds promises fast low-cost assays, especially point-of-care resource-limited settings.

Language: Английский

Citations

Optofluidic imaging meets deep learning: from merging to emerging DOI

Dickson M. D. Siu, Kelvin C. M. Lee,

Bob M. F. Chung

et al.

Lab on a Chip, Journal Year: 2023, Volume and Issue: 23(5), P. 1011 - 1033

Published: Jan. 1, 2023

We discuss the recent trends in integrating deep-learning (DL) and optofluidic imaging. A holistic understanding of them could incentivize DL-powered imaging for advancing a wide range novel applications science biomedicine.

Language: Английский

Citations

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

Shuaihua Zhang,

Ziyu Han,

H. Jerry Qi

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(11), P. 4419 - 4429

Published: March 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.

Language: Английский

Citations

Critical review of single-cell mechanotyping approaches for biomedical applications DOI

Max Chapman,

Vijay Rajagopal, Alastair G. Stewart

et al.

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(12), P. 3036 - 3063

Published: Jan. 1, 2024

Current approaches for mechanical measurements of single cells compromise between fidelity and throughput. Development non-contact technologies optimized theoretical modelling will advance characterisation large cell populations.

Language: Английский

Citations

Performance-enhanced clogging-free viscous sheath constriction impedance flow cytometry DOI

Junwen Zhu,

Yongxiang Feng, Huichao Chai

et al.

Lab on a Chip, Journal Year: 2023, Volume and Issue: 23(11), P. 2531 - 2539

Published: Jan. 1, 2023

As a label-free and high-throughput single cell analysis platform, impedance flow cytometry (IFC) suffers from clogging caused by narrow microchannel as mechanical constriction (MC). Current sheath (SC) solutions lack systematic evaluation of the performance proper guidelines for fluid. Herein, we hypothesize that viscosity non-conductive liquid is key to SC, propose employ viscous in SC unlock tradeoff between sensitivity throughput, while ensuring measurement accuracy. By placing MC series same microfluidic chip, established an platform prove hypothesis. Through modeling experiments, confirmed accuracy (error < 1.60% ± 4.71%) w.r.t. MC, demonstrated PEG solution achieved improved (7.92×) signal-to-noise ratio (1.42×) measurement, with maintained free clogging. Viscous IFC also shows satisfactory ability distinguish different types cancer cells subtypes human breast cells. It envisioned paves way be really usable practice clogging-free, accurate, sensitive performance.

Language: Английский

Citations