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Jeon H, Han J. Microfluidics with Machine Learning for Biophysical Characterization of Cells. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2025; 18:447-472. [PMID: 39999863 DOI: 10.1146/annurev-anchem-061622-025021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2025]
Abstract
Understanding the biophysical properties of cells is essential for biological research, diagnostics, and therapeutics. Microfluidics enhances biophysical cell characterization by enabling precise manipulation and real-time measurement at the microscale. However, the high-throughput nature of microfluidic systems generates vast amounts of data, complicating analysis. Integrating artificial intelligence (AI) methods, including machine learning and deep learning, with microfluidic technologies addresses these challenges. AI excels at analyzing large, complex datasets, improving the accuracy and efficiency of microfluidic experiments and facilitating new biological discoveries. This review examines the synergy between microfluidics and machine learning for biophysical cell characterization, categorizing existing methods based on the types of input data used for machine learning analysis, highlighting recent advancements, and discussing challenges and future directions in this interdisciplinary field.
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Affiliation(s)
- Hyungkook Jeon
- Department of Manufacturing Systems and Design Engineering (MSDE), Seoul National University of Science and Technology (SEOULTECH), Seoul, Republic of Korea;
| | - Jongyoon Han
- Departments of Biological Engineering and Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;
- Critical Analytics for Manufacturing Personalized Medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART) Centre, Singapore
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2
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Rodriguez-Moncayo R, Pons S, Tavares LP, Jeon H, Preuss JA, Bahnemann J, Han J, Levy BD, Voldman J. Inertial Microfluidics Enables Functional Analysis of Neutrophils Isolated from Ultralow Blood Volume Samples. Anal Chem 2025; 97:8419-8428. [PMID: 40145542 DOI: 10.1021/acs.analchem.5c00102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2025]
Abstract
Monitoring immune cell function is increasingly being recognized as a more relevant biomarker than traditional white blood cell counts, yet the need for repeated relatively large blood volumes still continues to pose a significant challenge. To overcome this, we developed a sample-sparing platform using inertial microfluidics that can process as little as 10 μL of blood to isolate leukocytes for downstream functional analysis. Our platform isolates leukocytes with ∼80% purity, >90% in-device recovery, and >95% viability. Neutrophils were our primary focus due to their sensitivity to external stimuli and their critical role in immune responses. Neutrophils isolated through our new method did not show inadvertent activation, as evidenced by unchanged expression of activation markers CD62L and CD11b, with phenotypes comparable to control cells in whole blood. We conducted a range of functional assays, including phagocytosis, ROS production, and NETosis with all tests confirming that neutrophils maintained their functionality after isolation. These assays were performed using standard laboratory workflows, demonstrating the platform's compatibility with techniques such as flow cytometry and cell culture assays. Furthermore, we showed the versatility of our platform by successfully isolating leukocytes from challenging samples, including mouse blood from the vena cava or tail vein, as well as human capillary blood obtained by fingerstick. This adaptability highlights the potential of this platform for clinical and research applications, particularly in frequent immune monitoring or cases where sample volume is limited.
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Affiliation(s)
- Roberto Rodriguez-Moncayo
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
| | - Stephanie Pons
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Luciana P Tavares
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Hyungkook Jeon
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
- Department of Manufacturing Systems and Design Engineering (MSDE), Seoul National University of Science and Technology (SEOULTECH), 232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea
| | | | - Janina Bahnemann
- Institute of Physics & Center for Advanced Analytics and Predictive Sciences, University of Augsburg, Augsburg 86159, Germany
| | - Jongyoon Han
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science & Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
| | - Bruce D Levy
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joel Voldman
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
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3
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Arzhang B, Lee J, Kovacs E, Butler M, Salimi E, Thomson DJ, Bridges GE. Combined Dielectric-Optical Characterization of Single Cells Using Dielectrophoresis-Imaging Flow Cytometry. BIOSENSORS 2024; 14:577. [PMID: 39727842 DOI: 10.3390/bios14120577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 11/18/2024] [Accepted: 11/21/2024] [Indexed: 12/28/2024]
Abstract
In this paper, we present a microfluidic flow cytometer for simultaneous imaging and dielectric characterization of individual biological cells within a flow. Utilizing a combination of dielectrophoresis (DEP) and high-speed imaging, this system offers a dual-modality approach to analyze both cell morphology and dielectric properties, enhancing the ability to analyze, characterize, and discriminate cells in a heterogeneous population. A high-speed camera is used to capture images of and track multiple cells in real-time as they flow through a microfluidic channel. A wide channel is used, enabling analysis of many cells in parallel. A coplanar electrode array perpendicular to cell flow is incorporated at the bottom of the channel to perform dielectrophoresis-based dielectric characterization. A frequency-dependent voltage applied to the array produces a non-uniform electric field, translating cells to higher or lower velocity depending on their dielectric polarizability. In this paper, we demonstrate how cell size, obtained by optical imaging, and DEP response, obtained by particle tracking, can be used to discriminate viable and non-viable Chinese hamster ovary cells in a heterogeneous cell culture. Multiphysics electrostatic-fluid dynamics simulation is used to develop a relationship between cell incoming velocity, differential velocity, size, and the cell's polarizability, which can subsequently be used to evaluate its physiological state. Measurement of a mixture of polystyrene microspheres is used to evaluate the accuracy of the cytometer.
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Affiliation(s)
- Behnam Arzhang
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Justyna Lee
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Emerich Kovacs
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Michael Butler
- National Institute for Bioprocessing Research and Training, A94 X099 Dublin, Ireland
| | - Elham Salimi
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Douglas J Thomson
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Greg E Bridges
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
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4
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Huang K, Lai J, Ren H, Wu C, Cheng X, Chu HKH. Large-Scale Selective Micropatterning with Robotics nDEP Tweezers and Hydrogel Encapsulation. ACS APPLIED MATERIALS & INTERFACES 2024; 16:49973-49984. [PMID: 39230980 DOI: 10.1021/acsami.4c10675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
Creating diverse microparticle patterns on a large scale enhances the performance and efficiency of biochemical analytics. Current techniques exhibit limitations in achieving diverse microparticle patterns on a large scale, primarily focusing on patterning particles of the same type with limited flexibility and accessibility. Moreover, accessibility to patterned particles without a fixed formation poses additional challenges. Herein, in this work, we introduce a novel robotic micropatterning system designed to address these challenges. The system facilitates the selection, batch transferring, patterning, and encapsulation of microparticles using negative dielectrophoresis (nDEP)-tweezers, enabling large-scale microparticle patterning on a hydrogel. A multielectrode chip was mounted on a micromanipulator to serve as the nDEP tweezers, and the microparticles scattering on the substrate could be trapped and displaced to different positions on a substrate with an array of holes for large-scale pattern generation. Photosensitive hydrogel was employed for microparticle pattern encapsulation. The effects of configuring different experimental parameters on the patterning efficiency were evaluated and analyzed. Experiments were conducted to explore the stability and performance of the micropatterns. Various patterns with hydrogel encapsulation were created using different color polystyrene microbeads (orange, blue, and green) with varying sizes (50, 100, and 125 μm) under the adjusted environment. Results demonstrate the successful creation of large-scale microbead patterns in a specified form and their encapsulation into an extractable hydrogel using the proposed nDEP tweezer system. The proposed system can be potentially applied to diverse bioparticles for analysis.
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Affiliation(s)
- Kaicheng Huang
- Department of Materials Science and Engineering, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
- Shenzhen Key Laboratory of Nanoimprint Technology, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Jiewen Lai
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Electronic Engineering Department, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Hongliang Ren
- Electronic Engineering Department, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Chunhui Wu
- Department of Materials Science and Engineering, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
- Shenzhen Key Laboratory of Nanoimprint Technology, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
| | - Xing Cheng
- Department of Materials Science and Engineering, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
- Shenzhen Key Laboratory of Nanoimprint Technology, Southern University of Science and Technology, Xueyuan Avenue, Shenzhen, Guangdong 518055, China
| | - Henry Kar Hang Chu
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
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Jeon H, Perez C, Kyung T, Birnbaum ME, Han J. Separation of Activated T Cells Using Multidimensional Double Spiral (MDDS) Inertial Microfluidics for High-Efficiency CAR T Cell Manufacturing. Anal Chem 2024; 96:10780-10790. [PMID: 38889002 PMCID: PMC11818483 DOI: 10.1021/acs.analchem.4c01981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
This study introduces a T cell enrichment process, capitalizing on the size differences between activated and unactivated T cells to facilitate the isolation of activated, transducible T cells. By employing multidimensional double spiral (MDDS) inertial sorting, our approach aims to remove unactivated or not fully activated T cells post-activation, consequently enhancing the efficiency of chimeric antigen receptor (CAR) T cell manufacturing. Our findings reveal that incorporating a simple, label-free, and continuous MDDS sorting step yields a purer T cell population, exhibiting significantly enhanced viability and CAR-transducibility (with up to 85% removal of unactivated T cells and approximately 80% recovery of activated T cells); we found approximately 2-fold increase in CAR transduction efficiency for a specific sample, escalating from ∼10% to ∼20%, but this efficiency highly depends on the original T cell sample as MDDS sorting would be more effective for samples possessing a higher proportion of unactivated T cells. This new cell separation process could augment the efficiency, yield, and cost-effectiveness of CAR T cell manufacturing, potentially broadening the accessibility of this transformative therapy and contributing to improved patient outcomes.
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Affiliation(s)
- Hyungkook Jeon
- Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
- Department of Manufacturing Systems and Design Engineering (MSDE), Seoul National University of Science and Technology (SEOULTECH), 232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea
| | - Caleb Perez
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
| | - Taeyoon Kyung
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
| | - Michael E. Birnbaum
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, Critical Analytics for Manufacturing Personalized-Medicine (CAMP) IRG, 1 CREATE way, #04-13/14 Enterprise Wing, 138602, Singapore
| | - Jongyoon Han
- Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), 77 Massachusetts avenue, Cambridge, Massachusetts, 02139, USA
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, Critical Analytics for Manufacturing Personalized-Medicine (CAMP) IRG, 1 CREATE way, #04-13/14 Enterprise Wing, 138602, Singapore
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Lehnert T, Gijs MAM. Microfluidic systems for infectious disease diagnostics. LAB ON A CHIP 2024; 24:1441-1493. [PMID: 38372324 DOI: 10.1039/d4lc00117f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Microorganisms, encompassing both uni- and multicellular entities, exhibit remarkable diversity as omnipresent life forms in nature. They play a pivotal role by supplying essential components for sustaining biological processes across diverse ecosystems, including higher host organisms. The complex interactions within the human gut microbiota are crucial for metabolic functions, immune responses, and biochemical signalling, particularly through the gut-brain axis. Viruses also play important roles in biological processes, for example by increasing genetic diversity through horizontal gene transfer when replicating inside living cells. On the other hand, infection of the human body by microbiological agents may lead to severe physiological disorders and diseases. Infectious diseases pose a significant burden on global healthcare systems, characterized by substantial variations in the epidemiological landscape. Fast spreading antibiotic resistance or uncontrolled outbreaks of communicable diseases are major challenges at present. Furthermore, delivering field-proven point-of-care diagnostic tools to the most severely affected populations in low-resource settings is particularly important and challenging. New paradigms and technological approaches enabling rapid and informed disease management need to be implemented. In this respect, infectious disease diagnostics taking advantage of microfluidic systems combined with integrated biosensor-based pathogen detection offers a host of innovative and promising solutions. In this review, we aim to outline recent activities and progress in the development of microfluidic diagnostic tools. Our literature research mainly covers the last 5 years. We will follow a classification scheme based on the human body systems primarily involved at the clinical level or on specific pathogen transmission modes. Important diseases, such as tuberculosis and malaria, will be addressed more extensively.
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Affiliation(s)
- Thomas Lehnert
- Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
| | - Martin A M Gijs
- Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
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7
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Yang Z, Wu Y, Neo SH, Yang D, Jeon H, Tee CA, Denslin V, Lin DJ, Lee EH, Boyer LA, Han J. Size-Based Microfluidic-Enriched Mesenchymal Stem Cell Subpopulations Enhance Articular Cartilage Repair. Am J Sports Med 2024; 52:503-515. [PMID: 38186352 DOI: 10.1177/03635465231214431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
BACKGROUND The functional heterogeneity of culture-expanded mesenchymal stem cells (MSCs) has hindered the clinical application of MSCs. Previous studies have shown that MSC subpopulations with superior chondrogenic capacity can be isolated using a spiral microfluidic device based on the principle of inertial cell focusing. HYPOTHESIS The delivery of microfluidic-enriched chondrogenic MSCs that are consistent in size and function will overcome the challenge of the functional heterogeneity of expanded MSCs and will significantly improve MSC-based cartilage repair. STUDY DESIGN Controlled laboratory study. METHODS A next-generation, fully automated multidimensional double spiral microfluidic device was designed to provide more refined and efficient isolation of MSC subpopulations based on size. Analysis of in vitro chondrogenic potential and RNA sequencing was performed on size-sorted MSC subpopulations. In vivo cartilage repair efficacy was demonstrated in an osteochondral injury model in 12-week-old rats. Defects were implanted with MSC subpopulations (n = 6 per group) and compared with those implanted with unsegregated MSCs (n = 6). Osteochondral repair was assessed at 6 and 12 weeks after surgery by histological, micro-computed tomography, and mechanical analysis. RESULTS A chondrogenic MSC subpopulation was efficiently isolated using the multidimensional double spiral device. RNA sequencing revealed distinct transcriptomic profiles and identified differential gene expression between subpopulations. The delivery of a chondrogenic MSC subpopulation resulted in improved cartilage repair, as indicated by histological scoring, the compression modulus, and micro-computed tomography of the subchondral bone. CONCLUSION We have established a rapid, label-free, and reliable microfluidic protocol for more efficient size-based enrichment of a chondrogenic MSC subpopulation. Our proof-of-concept in vivo study demonstrates the enhanced cartilage repair efficacy of these enriched chondrogenic MSCs. CLINICAL RELEVANCE The delivery of microfluidic-enriched chondrogenic MSCs that are consistent in size and function can overcome the challenge of the functional heterogeneity of expanded MSCs, resulting in significant improvement in MSC-based cartilage repair. The availability of such rapid, label-free enriched chondrogenic MSCs can enable better cell therapy products for cartilage repair with improved treatment outcomes.
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Affiliation(s)
- Zheng Yang
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Department of Orthopaedic Surgery, National University of Singapore, Singapore, Singapore
- NUS Tissue Engineering Program, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Yingnan Wu
- Department of Orthopaedic Surgery, National University of Singapore, Singapore, Singapore
- NUS Tissue Engineering Program, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Shu Hui Neo
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Dahou Yang
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Hyungkook Jeon
- Department of Manufacturing Systems and Design Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Ching Ann Tee
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Vinitha Denslin
- NUS Tissue Engineering Program, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Daryl Jimian Lin
- Department of Orthopaedic Surgery, National University of Singapore, Singapore, Singapore
- NUS Tissue Engineering Program, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Eng Hin Lee
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Department of Orthopaedic Surgery, National University of Singapore, Singapore, Singapore
- NUS Tissue Engineering Program, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Laurie A Boyer
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Jongyoon Han
- Critical Analytics for Manufacturing Personalized-Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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Kikkeri K, Naba FM, Voldman J. Rapid, low-cost fabrication of electronic microfluidics via inkjet-printing and xurography (MINX). Biosens Bioelectron 2023; 237:115499. [PMID: 37473550 DOI: 10.1016/j.bios.2023.115499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 06/23/2023] [Accepted: 06/24/2023] [Indexed: 07/22/2023]
Abstract
Microfluidics has shown great promise for point-of-care assays due to unique chemical and physical advantages that occur at the micron scale. Furthermore, integration of electrodes into microfluidic systems provides additional capabilities for assay operation and electronic readout. However, while these systems are abundant in biological and biomedical research settings, translation of microfluidic devices with embedded electrodes are limited. In part, this is due to the reliance on expensive, inaccessible, and laborious microfabrication techniques. Although innovative prior work has simplified microfluidic fabrication or inexpensively patterned electrodes, low-cost, accessible, and robust methods to incorporate all these elements are lacking. Here, we present MINX, a low-cost <1 USD and rapid (∼minutes) fabrication technique to manufacture microfluidic device with embedded electrodes. We characterize the structures created using MINX, and then demonstrate the utility of the approach by using MINX to implement an electrochemical bead-based biomarker detection assay. We show that the MINX technique enables the scalable, inexpensive fabrication of microfluidic devices with electronic sensors using widely accessible desktop machines and low-cost materials.
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Affiliation(s)
- Kruthika Kikkeri
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Feven Moges Naba
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Joel Voldman
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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Point-of-care diagnostics for sepsis using clinical biomarkers and microfluidic technology. Biosens Bioelectron 2023; 227:115181. [PMID: 36867959 DOI: 10.1016/j.bios.2023.115181] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/13/2023] [Accepted: 02/23/2023] [Indexed: 03/05/2023]
Abstract
Sepsis is a life-threatening immune response which is caused by a wide variety of sources and is a leading cause of mortality globally. Rapid diagnosis and appropriate antibiotic treatment are critical for successful patient outcomes; however, current molecular diagnostic techniques are time-consuming, costly and require trained personnel. Additionally, there is a lack of rapid point-of-care (POC) devices available for sepsis detection despite the urgent requirements in emergency departments and low-resource areas. Recent advances have been made toward developing a POC test for early sepsis detection that will be more rapid and accurate compared to conventional techniques. Within this context, this review discusses the use of current and novel biomarkers for early sepsis diagnosis using microfluidics devices for POC testing.
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Yang X, Gao C, Liu Y, Zhu L, Yang K. Simplified Cell Magnetic Isolation Assisted SC 2 Chip to Realize "Sample in and Chemotaxis Out": Validated by Healthy and T2DM Patients' Neutrophils. MICROMACHINES 2022; 13:1820. [PMID: 36363840 PMCID: PMC9692824 DOI: 10.3390/mi13111820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/17/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Neutrophil migration in tissues critically regulates the human immune response and can either play a protective role in host defense or cause health problems. Microfluidic chips are increasingly applied to study neutrophil migration, attributing to their advantages of low reagent consumption, stable chemical gradients, visualized cell chemotaxis monitoring, and quantification. Most chemotaxis chips suffered from low throughput and fussy cell separation operations. We here reported a novel and simple "sample in and chemotaxis out" method for rapid neutrophils isolation from a small amount of whole blood based on a simplified magnetic method, followed by a chemotaxis assay on a microfluidic chip (SC2 chip) consisting of six cell migration units and six-cell arrangement areas. The advantages of the "sample in and chemotaxis out" method included: less reagent consumption (10 μL of blood + 1 μL of magnetic beads + 1 μL of lysis buffer); less time (5 min of cell isolation + 15 min of chemotaxis testing); no ultracentrifugation; more convenient; higher efficiency; high throughput. We have successfully validated the approach by measuring neutrophil chemotaxis to frequently-used chemoattractant (i.e., fMLP). The effects of D-glucose and mannitol on neutrophil chemotaxis were also analyzed. In addition, we demonstrated the effectiveness of this approach for testing clinical samples from diabetes mellitus type 2 (T2DM) patients. We found neutrophils' migration speed was higher in the "well-control" T2DM than in the "poor-control" group. Pearson coefficient analysis further showed that the migration speed of T2DM was negatively correlated with physiological indicators, such as HbA1c (-0.44), triglyceride (-0.36), C-reactive protein (-0.28), and total cholesterol (-0.28). We are very confident that the developed "sample in and chemotaxis out" method was hoped to be an attractive model for analyzing the chemotaxis of healthy and disease-associated neutrophils.
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Affiliation(s)
- Xiao Yang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Chaoru Gao
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Yong Liu
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Ling Zhu
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Ke Yang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
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Szittner Z, Péter B, Kurunczi S, Székács I, Horváth R. Functional blood cell analysis by label-free biosensors and single-cell technologies. Adv Colloid Interface Sci 2022; 308:102727. [DOI: 10.1016/j.cis.2022.102727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/25/2022] [Accepted: 06/27/2022] [Indexed: 11/01/2022]
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12
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Jeon H, Wei M, Huang X, Yao J, Han W, Wang R, Xu X, Chen J, Sun L, Han J. Rapid and Label-Free Classification of Blood Leukocytes for Immune State Monitoring. Anal Chem 2022; 94:6394-6402. [PMID: 35416029 DOI: 10.1021/acs.analchem.2c00906] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
A fully automated and label-free sample-to-answer white blood cell (WBC) cytometry platform for rapid immune state monitoring is demonstrated. The platform integrates (1) a WBC separation process using the multidimensional double spiral (MDDS) device and (2) an imaging process where images of the separated WBCs are captured and analyzed. Using the deep-learning-based image processing technique, we analyzed the captured bright-field images to classify the WBCs into their subtypes. Furthermore, in addition to cell classification, we can detect activation-induced morphological changes in WBCs for functional immune assessment, which could allow the early detection of various diseases. The integrated platform operates in a rapid (<30 min), fully automated, and label-free manner. The platform could provide a promising solution to future point-of-care WBC diagnostics applications.
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Affiliation(s)
- Hyungkook Jeon
- Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
| | - Maoyu Wei
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xiwei Huang
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jiangfan Yao
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Wentao Han
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Renjie Wang
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xuefeng Xu
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jin Chen
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Lingling Sun
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jongyoon Han
- Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States.,Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States.,Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, United States
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Santopolo G, Clemente A, Aranda M, Socias A, del Castillo A, Chica A, Borges M, de la Rica R. Colorimetric Detection of Sepsis-Derived Hyperdegranulation with Plasmonic Nanosensors. ACS Sens 2021; 6:4443-4450. [PMID: 34793672 DOI: 10.1021/acssensors.1c01884] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Hyperdegranulation of neutrophilic granulocytes is a common finding in sepsis that directly contributes to the heightened immune response leading to organ dysfunction. Currently, cell degranulation is detected by flow cytometry, which requires large infrastructure that is not always available at the point of care. Here, we propose a plasmonic assay for detecting the degranulation status of septic cells colorimetrically. It is based on triggering the aggregation of gold nanoparticles with cationic granule proteins. Cells from septic patients contain fewer granules and therefore release less cationic proteins than healthy cells. This results in red-colored assays than can be easily detected by eye. The assay can selectively detect cationic granule proteins even in the presence of an excess of unrelated proteins, which is key to detect degranulation with high specificity. Coupling this signal generation mechanism with a magnetic purification step enabled the identification of septic cells with the same performance as flow cytometry. This makes the proposed method a promising alternative for diagnosing sepsis in decentralized healthcare schemes.
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Affiliation(s)
- Giulia Santopolo
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain
- Chemistry Department, University of the Balearic Islands (UIB), 07122 Palma, Spain
| | - Antonio Clemente
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain
| | - Maria Aranda
- Multidisciplinary Sepsis Unit, ICU, Son Llàtzer University Hospital, 07198 Palma, Spain
| | - Antonia Socias
- Multidisciplinary Sepsis Unit, ICU, Son Llàtzer University Hospital, 07198 Palma, Spain
| | - Alberto del Castillo
- Multidisciplinary Sepsis Unit, ICU, Son Llàtzer University Hospital, 07198 Palma, Spain
| | - Aniceta Chica
- Immunology Department, Son Espases University Hospital, 07120 Palma, Spain
| | - Marcio Borges
- Multidisciplinary Sepsis Unit, ICU, Son Llàtzer University Hospital, 07198 Palma, Spain
| | - Roberto de la Rica
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain
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14
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Choe SW, Kim B, Kim M. Progress of Microfluidic Continuous Separation Techniques for Micro-/Nanoscale Bioparticles. BIOSENSORS 2021; 11:464. [PMID: 34821680 PMCID: PMC8615634 DOI: 10.3390/bios11110464] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/07/2021] [Accepted: 11/12/2021] [Indexed: 05/03/2023]
Abstract
Separation of micro- and nano-sized biological particles, such as cells, proteins, and nucleotides, is at the heart of most biochemical sensing/analysis, including in vitro biosensing, diagnostics, drug development, proteomics, and genomics. However, most of the conventional particle separation techniques are based on membrane filtration techniques, whose efficiency is limited by membrane characteristics, such as pore size, porosity, surface charge density, or biocompatibility, which results in a reduction in the separation efficiency of bioparticles of various sizes and types. In addition, since other conventional separation methods, such as centrifugation, chromatography, and precipitation, are difficult to perform in a continuous manner, requiring multiple preparation steps with a relatively large minimum sample volume is necessary for stable bioprocessing. Recently, microfluidic engineering enables more efficient separation in a continuous flow with rapid processing of small volumes of rare biological samples, such as DNA, proteins, viruses, exosomes, and even cells. In this paper, we present a comprehensive review of the recent advances in microfluidic separation of micro-/nano-sized bioparticles by summarizing the physical principles behind the separation system and practical examples of biomedical applications.
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Affiliation(s)
- Se-woon Choe
- Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea;
- Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea
| | - Bumjoo Kim
- Department of Mechanical Engineering and Automotive Engineering, Kongju National University, Cheonan 1223-24, Korea;
- Department of Future Convergence Engineering, Kongju National University, Cheonan 1223-24, Korea
| | - Minseok Kim
- Department of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
- Department of Aeronautics, Mechanical and Electronic Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
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