1
|
Libbrecht S, Vankerckhoven A, de Wijs K, Baert T, Thirion G, Vandenbrande K, Van Gorp T, Timmerman D, Coosemans A, Lagae L. A Microfluidics Approach for Ovarian Cancer Immune Monitoring in an Outpatient Setting. Cells 2023; 13:7. [PMID: 38201211 PMCID: PMC10778191 DOI: 10.3390/cells13010007] [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] [Received: 10/26/2023] [Revised: 12/01/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Among cancer diagnoses in women, ovarian cancer has the fifth-highest mortality rate. Current treatments are unsatisfactory, and new therapies are highly needed. Immunotherapies show great promise but have not reached their full potential in ovarian cancer patients. Implementation of an immune readout could offer better guidance and development of immunotherapies. However, immune profiling is often performed using a flow cytometer, which is bulky, complex, and expensive. This equipment is centralized and operated by highly trained personnel, making it cumbersome and time-consuming. We aim to develop a disposable microfluidic chip capable of performing an immune readout with the sensitivity needed to guide diagnostic decision making as close as possible to the patient. As a proof of concept of the fluidics module of this concept, acquisition of a limited immune panel based on CD45, CD8, programmed cell death protein 1 (PD1), and a live/dead marker was compared to a conventional flow cytometer (BD FACSymphony). Based on a dataset of peripheral blood mononuclear cells of 15 patients with ovarian cancer across different stages of treatment, we obtained a 99% correlation coefficient for the detection of CD8+PD1+ T cells relative to the total amount of CD45+ white blood cells. Upon further system development comprising further miniaturization of optics, this microfluidics chip could enable immune monitoring in an outpatient setting, facilitating rapid acquisition of data without the need for highly trained staff.
Collapse
Affiliation(s)
- Sarah Libbrecht
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
| | - Ann Vankerckhoven
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Koen de Wijs
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
| | - Thaïs Baert
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Oncology, Gynecological Oncology, KU Leuven, B-3000 Leuven, Belgium
| | - Gitte Thirion
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Katja Vandenbrande
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Toon Van Gorp
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Oncology, Gynecological Oncology, KU Leuven, B-3000 Leuven, Belgium
| | - Dirk Timmerman
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, B-3000 Leuven, Belgium
| | - An Coosemans
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Liesbet Lagae
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
- Physics Department, KU Leuven, B-3000 Leuven, Belgium
| |
Collapse
|
2
|
Rasouli R, Villegas KM, Tabrizian M. Acoustofluidics - changing paradigm in tissue engineering, therapeutics development, and biosensing. LAB ON A CHIP 2023; 23:1300-1338. [PMID: 36806847 DOI: 10.1039/d2lc00439a] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
For more than 70 years, acoustic waves have been used to screen, diagnose, and treat patients in hundreds of medical devices. The biocompatible nature of acoustic waves, their non-invasive and contactless operation, and their compatibility with wide visualization techniques are just a few of the many features that lead to the clinical success of sound-powered devices. The development of microelectromechanical systems and fabrication technologies in the past two decades reignited the spark of acoustics in the discovery of unique microscale bio applications. Acoustofluidics, the combination of acoustic waves and fluid mechanics in the nano and micro-realm, allowed researchers to access high-resolution and controllable manipulation and sensing tools for particle separation, isolation and enrichment, patterning of cells and bioparticles, fluid handling, and point of care biosensing strategies. This versatility and attractiveness of acoustofluidics have led to the rapid expansion of platforms and methods, making it also challenging for users to select the best acoustic technology. Depending on the setup, acoustic devices can offer a diverse level of biocompatibility, throughput, versatility, and sensitivity, where each of these considerations can become the design priority based on the application. In this paper, we aim to overview the recent advancements of acoustofluidics in the multifaceted fields of regenerative medicine, therapeutic development, and diagnosis and provide researchers with the necessary information needed to choose the best-suited acoustic technology for their application. Moreover, the effect of acoustofluidic systems on phenotypic behavior of living organisms are investigated. The review starts with a brief explanation of acoustofluidic principles, the different working mechanisms, and the advantages or challenges of commonly used platforms based on the state-of-the-art design features of acoustofluidic technologies. Finally, we present an outlook of potential trends, the areas to be explored, and the challenges that need to be overcome in developing acoustofluidic platforms that can echo the clinical success of conventional ultrasound-based devices.
Collapse
Affiliation(s)
- Reza Rasouli
- Department of Biomedical Engineering, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
| | - Karina Martinez Villegas
- Department of Biomedical Engineering, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
| | - Maryam Tabrizian
- Department of Biomedical Engineering, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
3
|
Mejía Morales J, Glynne-Jones P, Vassalli M, Lippi GL. Acoustofluidic interferometric device for rapid single-cell physical phenotyping. EUROPEAN BIOPHYSICS JOURNAL : EBJ 2022; 51:185-191. [PMID: 35018482 DOI: 10.1007/s00249-021-01585-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/01/2021] [Accepted: 12/10/2021] [Indexed: 06/14/2023]
Abstract
High-throughput single-cell analysis based on physical properties (such as morphology or mechanics) is emerging as a powerful tool to inform clinical research, with a great potential for translation towards diagnosis. Here we present a novel microfluidic approach adopting acoustic waves to manipulate and mechanically stimulate single cells, and interferometry to track changes in the morphology and measure size, deformability, and refractive index of non-adherent cells. The method is based on the integration within the acoustofluidic channel of a low-finesse Fabry-Perot resonator, providing very high sensitivity and a speed potentially suitable to obtain the high-throughput necessary to handle the variability stemming from the biological diversity of single cells. The proposed approach is applied to a set of different samples: reference polystyrene beads, algae and yeast. The results demonstrate the capability of the acoustofluidic interferometric device to detect and quantify optomechanical properties of single cells with a throughput suitable to address label-free single-cell clinical analysis.
Collapse
Affiliation(s)
- J Mejía Morales
- Institut de Physique de Nice, Université Côte d'Azur, CNRS, 06560, Valbonne, France.
- Department of Experimental Medicine, University of Genova, 16149, Genova, Italy.
- Laboratory of General Biochemistry and Physical Pharmacy, Ghent University, 9000, Ghent, Belgium.
| | - P Glynne-Jones
- Engineering Sciences, University of Southampton, SO17 1BJ, Southampton, UK
| | - M Vassalli
- James Watt School of Engineering, University of Glasgow, G12 8LT, Glasgow, UK
| | - G L Lippi
- Institut de Physique de Nice, Université Côte d'Azur, CNRS, 06560, Valbonne, France
| |
Collapse
|
4
|
Steckel AG, Bruus H. Numerical study of bulk acoustofluidic devices driven by thin-film transducers and whole-system resonance modes. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2021; 150:634. [PMID: 34340467 DOI: 10.1121/10.0005624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
In bulk acoustofluidic devices, acoustic resonance modes for fluid and microparticle handling are traditionally excited by bulk piezoelectric (PZE) transducers. In this work, it is demonstrated by numerical simulations in three dimensions that integrated PZE thin-film transducers, constituting less than 0.1% of the bulk device, work equally well. The simulations are performed using a well-tested and experimentally validated numerical model. A water-filled straight channel embedded in a mm-sized bulk glass chip with a 1- μm-thick thin-film transducer made of Al0.6Sc0.4N is presented as a proof-of-concept example. The acoustic energy, radiation force, and microparticle focusing times are computed and shown to be comparable to those of a conventional bulk silicon-glass device actuated by a bulk lead-zirconate-titanate transducer. The ability of thin-film transducers to create the desired acoustofluidic effects in bulk acoustofluidic devices relies on three physical aspects: the in-plane-expansion of the thin-film transducer under the applied orthogonal electric field, the acoustic whole-system resonance of the device, and the high Q-factor of the elastic solid, constituting the bulk part of the device. Consequently, the thin-film device is remarkably insensitive to the Q-factor and resonance properties of the thin-film transducer.
Collapse
Affiliation(s)
- André G Steckel
- Department of Physics, Technical University of Denmark, DTU Physics Building 309, DK-2800 Kongens Lyngby, Denmark
| | - Henrik Bruus
- Department of Physics, Technical University of Denmark, DTU Physics Building 309, DK-2800 Kongens Lyngby, Denmark
| |
Collapse
|
5
|
Mejía Morales J, Hammarström B, Lippi GL, Vassalli M, Glynne-Jones P. Acoustofluidic phase microscopy in a tilted segmentation-free configuration. BIOMICROFLUIDICS 2021; 15:014102. [PMID: 33456640 PMCID: PMC7787693 DOI: 10.1063/5.0036585] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
A low-cost device for registration-free quantitative phase microscopy (QPM) based on the transport of intensity equation of cells in continuous flow is presented. The method uses acoustic focusing to align cells into a single plane where all cells move at a constant speed. The acoustic focusing plane is tilted with respect to the microscope's focal plane in order to obtain cell images at multiple focal positions. As the cells are displaced at constant speed, phase maps can be generated without the need to segment and register individual objects. The proposed inclined geometry allows for the acquisition of a vertical stack without the need for any moving part, and it enables a cost-effective and robust implementation of QPM. The suitability of the solution for biological imaging is tested on blood samples, demonstrating the ability to recover the phase map of single red blood cells flowing through the microchip.
Collapse
Affiliation(s)
| | | | - Gian Luca Lippi
- Institut de Physique de Nice, Université Côte d’Azur, CNRS, 06560 Valbonne, France
| | - Massimo Vassalli
- James Watt School of Engineering, University of Glasgow, G12 8LT Glasgow, United Kingdom
| | - Peter Glynne-Jones
- Engineering Sciences, University of Southampton, SO17 1BJ Southampton, United Kingdom
| |
Collapse
|
6
|
Sankova N, Shalaev P, Semeykina V, Dolgushin S, Odintsova E, Parkhomchuk E. Spectrally encoded microspheres for immunofluorescence analysis. J Appl Polym Sci 2020. [DOI: 10.1002/app.49890] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Natalya Sankova
- Department of Natural Sciences Novosibirsk State University Novosibirsk Russian Federation
- Boreskov Institute of Catalysis SB RAS, Group of template synthesis Novosibirsk Russian Federation
| | - Pavel Shalaev
- Gamaleya Research Center of Epidemiology and Microbiology, Translational Biomedicine Laboratory Moscow Russian Federation
- Aivok LLC Moscow Russian Federation
- National Research University of Electronic Technology, Institute of Biomedical Systems Moscow Russian Federation
| | - Viktoriya Semeykina
- Department of Natural Sciences Novosibirsk State University Novosibirsk Russian Federation
- Boreskov Institute of Catalysis SB RAS, Group of template synthesis Novosibirsk Russian Federation
| | - Sergey Dolgushin
- Gamaleya Research Center of Epidemiology and Microbiology, Translational Biomedicine Laboratory Moscow Russian Federation
- Aivok LLC Moscow Russian Federation
| | - Elena Odintsova
- Sechenov First Moscow State Medical University Moscow Russian Federation
| | - Ekaterina Parkhomchuk
- Department of Natural Sciences Novosibirsk State University Novosibirsk Russian Federation
- Boreskov Institute of Catalysis SB RAS, Group of template synthesis Novosibirsk Russian Federation
| |
Collapse
|
7
|
Isozaki A, Harmon J, Zhou Y, Li S, Nakagawa Y, Hayashi M, Mikami H, Lei C, Goda K. AI on a chip. LAB ON A CHIP 2020; 20:3074-3090. [PMID: 32644061 DOI: 10.1039/d0lc00521e] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Artificial intelligence (AI) has dramatically changed the landscape of science, industry, defence, and medicine in the last several years. Supported by considerably enhanced computational power and cloud storage, the field of AI has shifted from mostly theoretical studies in the discipline of computer science to diverse real-life applications such as drug design, material discovery, speech recognition, self-driving cars, advertising, finance, medical imaging, and astronomical observation, where AI-produced outcomes have been proven to be comparable or even superior to the performance of human experts. In these applications, what is essentially important for the development of AI is the data needed for machine learning. Despite its prominent importance, the very first process of the AI development, namely data collection and data preparation, is typically the most laborious task and is often a limiting factor of constructing functional AI algorithms. Lab-on-a-chip technology, in particular microfluidics, is a powerful platform for both the construction and implementation of AI in a large-scale, cost-effective, high-throughput, automated, and multiplexed manner, thereby overcoming the above bottleneck. On this platform, high-throughput imaging is a critical tool as it can generate high-content information (e.g., size, shape, structure, composition, interaction) of objects on a large scale. High-throughput imaging can also be paired with sorting and DNA/RNA sequencing to conduct a massive survey of phenotype-genotype relations whose data is too complex to analyze with traditional computational tools, but is analyzable with the power of AI. In addition to its function as a data provider, lab-on-a-chip technology can also be employed to implement the developed AI for accurate identification, characterization, classification, and prediction of objects in mixed, heterogeneous, or unknown samples. In this review article, motivated by the excellent synergy between AI and lab-on-a-chip technology, we outline fundamental elements, recent advances, future challenges, and emerging opportunities of AI with lab-on-a-chip technology or "AI on a chip" for short.
Collapse
Affiliation(s)
- Akihiro Isozaki
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan. and Kanagawa Institute of Industrial Science and Technology, Kanagawa 213-0012, Japan
| | - Jeffrey Harmon
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
| | - Yuqi Zhou
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
| | - Shuai Li
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan. and The Cambridge Centre for Data-Driven Discovery, Cambridge University, Cambridge CB3 0WA, UK
| | - Yuta Nakagawa
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
| | - Mika Hayashi
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
| | - Hideharu Mikami
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
| | - Cheng Lei
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan. and Institute of Technological Sciences, Wuhan University, Hubei 430072, China
| | - Keisuke Goda
- Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan. and Institute of Technological Sciences, Wuhan University, Hubei 430072, China and Department of Bioengineering, University of California, Los Angeles, California 90095, USA
| |
Collapse
|
8
|
Tahmasebipour A, Friedrich L, Begley M, Bruus H, Meinhart C. Toward optimal acoustophoretic microparticle manipulation by exploiting asymmetry. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2020; 148:359. [PMID: 32752779 DOI: 10.1121/10.0001634] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 07/09/2020] [Indexed: 06/11/2023]
Abstract
The performance of a micro-acousto-fluidic device designed for microparticle trapping is simulated using a three-dimensional (3D) numerical model. It is demonstrated by numerical simulations that geometrically asymmetric architecture and actuation can increase the acoustic radiation forces in a liquid-filled cavity by almost 2 orders of magnitude when setting up a standing pressure half wave in a microfluidic chamber. Similarly, experiments with silicon-glass devices show a noticeable improvement in acoustophoresis of 20-μm silica beads in water when asymmetric devices are used. Microparticle acoustophoresis has an extensive array of applications in applied science fields ranging from life sciences to 3D printing. A more efficient and powerful particle manipulation system can boost the overall effectiveness of an acoustofluidic device. The numerical simulations are developed in the COMSOL Multiphysics® software package (COMSOL AB, Stockholm, Sweden). By monitoring the modes and magnitudes of simulated acoustophoretic fields in a relatively wide range of ultrasonic frequencies, a map of device performance is obtained. 3D resonant acoustophoretic fields are identified to quantify the improved performance of the chips with an asymmetric layout. Four different device designs are analyzed experimentally, and particle tracking experimental data qualitatively supports the numerical results.
Collapse
Affiliation(s)
- Amir Tahmasebipour
- Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, California 93106, USA
| | - Leanne Friedrich
- Materials Department, University of California Santa Barbara, Santa Barbara, California 93106, USA
| | - Matthew Begley
- Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, California 93106, USA
| | - Henrik Bruus
- Department of Physics, Technical University of Denmark, Danmarks Tekniske Universitet Physics Building 309, 2800 Kongens Lyngby, Denmark
| | - Carl Meinhart
- Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, California 93106, USA
| |
Collapse
|
9
|
Mikami H, Kawaguchi M, Huang CJ, Matsumura H, Sugimura T, Huang K, Lei C, Ueno S, Miura T, Ito T, Nagasawa K, Maeno T, Watarai H, Yamagishi M, Uemura S, Ohnuki S, Ohya Y, Kurokawa H, Matsusaka S, Sun CW, Ozeki Y, Goda K. Virtual-freezing fluorescence imaging flow cytometry. Nat Commun 2020; 11:1162. [PMID: 32139684 PMCID: PMC7058616 DOI: 10.1038/s41467-020-14929-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 02/06/2020] [Indexed: 01/07/2023] Open
Abstract
By virtue of the combined merits of flow cytometry and fluorescence microscopy, imaging flow cytometry (IFC) has become an established tool for cell analysis in diverse biomedical fields such as cancer biology, microbiology, immunology, hematology, and stem cell biology. However, the performance and utility of IFC are severely limited by the fundamental trade-off between throughput, sensitivity, and spatial resolution. Here we present an optomechanical imaging method that overcomes the trade-off by virtually freezing the motion of flowing cells on the image sensor to effectively achieve 1000 times longer exposure time for microscopy-grade fluorescence image acquisition. Consequently, it enables high-throughput IFC of single cells at >10,000 cells s−1 without sacrificing sensitivity and spatial resolution. The availability of numerous information-rich fluorescence cell images allows high-dimensional statistical analysis and accurate classification with deep learning, as evidenced by our demonstration of unique applications in hematology and microbiology. High throughput imaging flow cytometry suffers from trade-offs between throughput, sensitivity and spatial resolution. Here the authors introduce a method to virtually freeze cells in the image acquisition window to enable 1000 times longer signal integration time and improve signal-to-noise ratio.
Collapse
Affiliation(s)
- Hideharu Mikami
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
| | - Makoto Kawaguchi
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Chun-Jung Huang
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Department of Photonics, National Chiao Tung University, Hsinchu, 300, Taiwan
| | - Hiroki Matsumura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takeaki Sugimura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Japan Science and Technology Agency, Saitama, 332-0012, Japan.,CYBO, Tokyo, 101-0022, Japan
| | - Kangrui Huang
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Cheng Lei
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shunnosuke Ueno
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Taichi Miura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takuro Ito
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Japan Science and Technology Agency, Saitama, 332-0012, Japan
| | - Kazumichi Nagasawa
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Takanori Maeno
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Hiroshi Watarai
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan.,Department of Immunology and Stem Cell Biology, Faculty of Medicine, Kanazawa University, Ishikawa, 920-8640, Japan
| | - Mai Yamagishi
- Department of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Sotaro Uemura
- Department of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shinsuke Ohnuki
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, 277-8562, Japan
| | - Yoshikazu Ohya
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, 277-8562, Japan.,AIST-UTokyo Advanced Operando-Measurement Technology Open Innovation Laboratory (OPERANDO-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Chiba, 277-8565, Japan
| | - Hiromi Kurokawa
- Department of Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8577, Japan
| | - Satoshi Matsusaka
- Department of Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8577, Japan.,Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan
| | - Chia-Wei Sun
- Department of Photonics, National Chiao Tung University, Hsinchu, 300, Taiwan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
| | - Keisuke Goda
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan. .,Japan Science and Technology Agency, Saitama, 332-0012, Japan. .,Institute of Technological Sciences, Wuhan University, Hubei, 430072, China. .,Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
| |
Collapse
|
10
|
Abstract
Cellular analysis is a central concept for both biology and medicine. Over the past two decades, acoustofluidic technologies, which marry acoustic waves with microfluidics, have significantly contributed to the development of innovative approaches for cellular analysis. Acoustofluidic technologies enable precise manipulations of cells and the fluids that confine them, and these capabilities have been utilized in many cell analysis applications. In this review article, we examine various applications where acoustofluidic methods have been implemented, including cell imaging, cell mechanotyping, circulating tumor cell phenotyping, sample preparation in clinics, and investigation of cell-cell interactions and cell-environment responses. We also provide our perspectives on the technological advantages, limitations, and potential future directions for this innovative field of methods.
Collapse
Affiliation(s)
- Yuliang Xie
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27707, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27707, USA
| |
Collapse
|
11
|
Karthick S, Pradeep PN, Kanchana P, Sen AK. Acoustic impedance-based size-independent isolation of circulating tumour cells from blood using acoustophoresis. LAB ON A CHIP 2018; 18:3802-3813. [PMID: 30402651 DOI: 10.1039/c8lc00921j] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Label-free isolation of CTCs from blood is critical for the development of diagnostic and prognostic tools for cancer. Here, we report a label-free method based on acoustic impedance contrast for the isolation of CTCs from peripheral blood mononuclear cells (PBMCs) in a microchannel using acoustophoresis. We describe a method in which the acoustophoretic migration of PBMCs is arrested by matching their acoustic impedance with that of the sample medium, and CTCs that have different acoustic impedance compared to PBMCs migrate toward the pressure node or antinode and thus become isolated. We show that acoustic streaming which can adversely affect the CTC isolation is suppressed owing to the inhomogeneous liquid flow configuration. We establish a method for isolation of CTCs that have higher or lower acoustic impedance compared to PBMCs by controlling the acoustic impedance contrast of the liquids across the channel. Applying this method, we demonstrate label-free isolation of HeLa and MDA-MB-231 cells from PBMCs (collected from 2.0 mL of blood) within one hour yielding a recovery of >86% and >50-fold enrichment. Combined impedance and size-based sorting is proposed as a promising tool for the effective isolation of CTCs from blood.
Collapse
Affiliation(s)
- S Karthick
- Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai-600036, India.
| | | | | | | |
Collapse
|
12
|
Ren L, Yang S, Zhang P, Qu Z, Mao Z, Huang PH, Chen Y, Wu M, Wang L, Li P, Huang TJ. Standing Surface Acoustic Wave (SSAW)-Based Fluorescence-Activated Cell Sorter. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2018; 14:e1801996. [PMID: 30168662 PMCID: PMC6291339 DOI: 10.1002/smll.201801996] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 07/27/2018] [Indexed: 05/15/2023]
Abstract
Microfluidic fluorescence-activated cell sorters (μFACS) have attracted considerable interest because of their ability to identify and separate cells in inexpensive and biosafe ways. Here a high-performance μFACS is presented by integrating a standing surface acoustic wave (SSAW)-based, 3D cell-focusing unit, an in-plane fluorescent detection unit, and an SSAW-based cell-deflection unit on a single chip. Without using sheath flow or precise flow rate control, the SSAW-based cell-focusing technique can focus cells into a single file at a designated position. The tight focusing of cells enables an in-plane-integrated optical detection system to accurately distinguish individual cells of interest. In the acoustic-based cell-deflection unit, a focused interdigital transducer design is utilized to deflect cells from the focused stream within a minimized area, resulting in a high-throughput sorting ability. Each unit is experimentally characterized, respectively, and the integrated SSAW-based FACS is used to sort mammalian cells (HeLa) at different throughputs. A sorting purity of greater than 90% is achieved at a throughput of 2500 events s-1 . The SSAW-based FACS is efficient, fast, biosafe, biocompatible and has a small footprint, making it a competitive alternative to more expensive, bulkier traditional FACS.
Collapse
Affiliation(s)
- Liqiang Ren
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhiguo Qu
- Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Zhangming Mao
- Ascent Bio-Nano Technologies, Inc., Research Triangle Park, NC, 27709, USA
| | - Po-Hsun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Yuchao Chen
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Mengxi Wu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Lin Wang
- Ascent Bio-Nano Technologies, Inc., Research Triangle Park, NC, 27709, USA
| | - Peng Li
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, 26506, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| |
Collapse
|
13
|
Apichitsopa N, Jaffe A, Voldman J. Multiparameter cell-tracking intrinsic cytometry for single-cell characterization. LAB ON A CHIP 2018; 18:1430-1439. [PMID: 29687107 DOI: 10.1039/c8lc00240a] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
An abundance of label-free microfluidic techniques for measuring cell intrinsic markers exists, yet these techniques are seldom combined because of integration complexity such as restricted physical space and incompatible modes of operation. We introduce a multiparameter intrinsic cytometry approach for the characterization of single cells that combines ≥2 label-free measurement techniques onto the same platform and uses cell tracking to associate the measured properties to cells. Our proof-of-concept implementation can measure up to five intrinsic properties including size, deformability, and polarizability at three frequencies. Each measurement module along with the integrated platform were validated and evaluated in the context of chemically induced changes in the actin cytoskeleton of cells. viSNE and machine learning classification were used to determine the orthogonality between and the contribution of the measured intrinsic markers for cell classification.
Collapse
Affiliation(s)
- N Apichitsopa
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
| | - A Jaffe
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
| | - J Voldman
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
| |
Collapse
|
14
|
Jonnalagadda US, Hill M, Messaoudi W, Cook RB, Oreffo ROC, Glynne-Jones P, Tare RS. Acoustically modulated biomechanical stimulation for human cartilage tissue engineering. LAB ON A CHIP 2018; 18:473-485. [PMID: 29300407 DOI: 10.1039/c7lc01195d] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Bioacoustofluidics can be used to trap and levitate cells within a fluid channel, thereby facilitating scaffold-free tissue engineering in a 3D environment. In the present study, we have designed and characterised an acoustofluidic bioreactor platform, which applies acoustic forces to mechanically stimulate aggregates of human articular chondrocytes in long-term levitated culture. By varying the acoustic parameters (amplitude, frequency sweep, and sweep repetition rate), cells were stimulated by oscillatory fluid shear stresses, which were dynamically modulated at different sweep repetition rates (1-50 Hz). Furthermore, in combination with appropriate biochemical cues, the acoustic stimulation was tuned to engineer human cartilage constructs with structural and mechanical properties comparable to those of native human cartilage, as assessed by immunohistology and nano-indentation, respectively. The findings of this study demonstrate the capability of acoustofluidics to provide a tuneable biomechanical force for the culture and development of hyaline-like human cartilage constructs in vitro.
Collapse
Affiliation(s)
- Umesh S Jonnalagadda
- Mechanical Engineering, Faculty of Engineering and the Environment, University of Southampton, Southampton SO17 1 BJ, UK.
| | | | | | | | | | | | | |
Collapse
|
15
|
Kalb DM, Fencl FA, Woods TA, Swanson A, Maestas GC, Juárez JJ, Edwards BS, Shreve AP, Graves SW. Line-Focused Optical Excitation of Parallel Acoustic Focused Sample Streams for High Volumetric and Analytical Rate Flow Cytometry. Anal Chem 2017; 89:9967-9975. [PMID: 28823146 PMCID: PMC6134836 DOI: 10.1021/acs.analchem.7b02319] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Flow cytometry provides highly sensitive multiparameter analysis of cells and particles but has been largely limited to the use of a single focused sample stream. This limits the analytical rate to ∼50K particles/s and the volumetric rate to ∼250 μL/min. Despite the analytical prowess of flow cytometry, there are applications where these rates are insufficient, such as rare cell analysis in high cellular backgrounds (e.g., circulating tumor cells and fetal cells in maternal blood), detection of cells/particles in large dilute samples (e.g., water quality, urine analysis), or high-throughput screening applications. Here we report a highly parallel acoustic flow cytometer that uses an acoustic standing wave to focus particles into 16 parallel analysis points across a 2.3 mm wide optical flow cell. A line-focused laser and wide-field collection optics are used to excite and collect the fluorescence emission of these parallel streams onto a high-speed camera for analysis. With this instrument format and fluorescent microsphere standards, we obtain analysis rates of 100K/s and flow rates of 10 mL/min, while maintaining optical performance comparable to that of a commercial flow cytometer. The results with our initial prototype instrument demonstrate that the integration of key parallelizable components, including the line-focused laser, particle focusing using multinode acoustic standing waves, and a spatially arrayed detector, can increase analytical and volumetric throughputs by orders of magnitude in a compact, simple, and cost-effective platform. Such instruments will be of great value to applications in need of high-throughput yet sensitive flow cytometry analysis.
Collapse
Affiliation(s)
- Daniel M. Kalb
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| | - Frank A. Fencl
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| | - Travis A. Woods
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
- Center for Molecular Discovery, Innovation Discovery and Training Center, Health Sciences Center, University of New Mexico, Albuquerque, New Mexico, 87131-0001 United States
| | | | - Gian C. Maestas
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| | - Jaime J. Juárez
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| | - Bruce S. Edwards
- Center for Molecular Discovery, Innovation Discovery and Training Center, Health Sciences Center, University of New Mexico, Albuquerque, New Mexico, 87131-0001 United States
| | - Andrew P. Shreve
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| | - Steven W. Graves
- Center for Biomedical Engineering & Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131
| |
Collapse
|
16
|
|
17
|
Thalhammer G, McDougall C, MacDonald MP, Ritsch-Marte M. Acoustic force mapping in a hybrid acoustic-optical micromanipulation device supporting high resolution optical imaging. LAB ON A CHIP 2016; 16:1523-32. [PMID: 27025398 PMCID: PMC5058352 DOI: 10.1039/c6lc00182c] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 03/17/2016] [Indexed: 05/03/2023]
Abstract
Many applications in the life-sciences demand non-contact manipulation tools for forceful but nevertheless delicate handling of various types of sample. Moreover, the system should support high-resolution optical imaging. Here we present a hybrid acoustic/optical manipulation system which utilizes a transparent transducer, making it compatible with high-NA imaging in a microfluidic environment. The powerful acoustic trapping within a layered resonator, which is suitable for highly parallel particle handling, is complemented by the flexibility and selectivity of holographic optical tweezers, with the specimens being under high quality optical monitoring at all times. The dual acoustic/optical nature of the system lends itself to optically measure the exact acoustic force map, by means of direct force measurements on an optically trapped particle. For applications with (ultra-)high demand on the precision of the force measurements, the position of the objective used for the high-NA imaging may have significant influence on the acoustic force map in the probe chamber. We have characterized this influence experimentally and the findings were confirmed by model simulations. We show that it is possible to design the chamber and to choose the operating point in such a way as to avoid perturbations due to the objective lens. Moreover, we found that measuring the electrical impedance of the transducer provides an easy indicator for the acoustic resonances.
Collapse
Affiliation(s)
- Gregor Thalhammer
- Division of Biomedical Physics, Medical University Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria.
| | - Craig McDougall
- Division of Cancer Research, School of Medicine, University of Dundee, Dundee, UK
| | - Michael Peter MacDonald
- Division of Cancer Research, School of Medicine, University of Dundee, Dundee, UK and Physics, School of Science and Engineering, University of Dundee, Dundee, UK
| | - Monika Ritsch-Marte
- Division of Biomedical Physics, Medical University Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria.
| |
Collapse
|