1
|
Gupta DK, Highland R, Miller DA, Wax A. Utilizing quantitative phase microscopy to localize fluorescence in three dimensions via the transport of intensity equation. OPTICS LETTERS 2024; 49:4457-4460. [PMID: 39090958 DOI: 10.1364/ol.532991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 07/14/2024] [Indexed: 08/04/2024]
Abstract
We demonstrate the use of a novel, to the best of our knowledge, localization algorithm for digitally refocusing fluorescence images from a three-dimensional cell culture. Simultaneous phase and fluorescence intensity images are collected through a multimodal system that combines digital holography via quantitative phase microscopy (QPM) and fluorescence microscopy. Defocused fluorescence images are localized to a specific z-plane within the three-dimensional (3D) matrix using the transport of intensity equation (TIE) and depth-resolved information derived from the QPM measurements. This technique is applied to cells stained with different fluorescent tags suspended in 3D collagen hydrogel cultures. Experimental findings demonstrate the localization of defocused images, facilitating the analysis and comparison of cells within the hydrogel matrix. This method holds promise for comprehensive cellular imaging of fluorescence labeling in three-dimensional environments, enabling detailed investigations into cellular behavior and interactions.
Collapse
|
2
|
Lee MJ, Kim B, Lee D, Kim G, Chung Y, Shin HS, Choi S, Park Y. Enhanced functionalities of immune cells separated by a microfluidic lattice: assessment based on holotomography. BIOMEDICAL OPTICS EXPRESS 2023; 14:6127-6137. [PMID: 38420329 PMCID: PMC10898572 DOI: 10.1364/boe.503957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/17/2023] [Accepted: 10/17/2023] [Indexed: 03/02/2024]
Abstract
The isolation of white blood cells (WBCs) from whole blood constitutes a pivotal process for immunological studies, diagnosis of hematologic disorders, and the facilitation of immunotherapy. Despite the ubiquity of density gradient centrifugation in WBC isolation, its influence on WBC functionality remains inadequately understood. This research employs holotomography to explore the effects of two distinct WBC separation techniques, namely conventional centrifugation and microfluidic separation, on the functionality of the isolated cells. We utilize three-dimensional refractive index distribution and time-lapse dynamics to analyze individual WBCs in-depth, focusing on their morphology, motility, and phagocytic capabilities. Our observations highlight that centrifugal processes negatively impact WBC motility and phagocytic capacity, whereas microfluidic separation yields a more favorable outcome in preserving WBC functionality. These findings emphasize the potential of microfluidic separation techniques as a viable alternative to traditional centrifugation for WBC isolation, potentially enabling more precise analyses in immunology research and improving the accuracy of hematologic disorder diagnoses.
Collapse
Affiliation(s)
- Mahn Jae Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
| | - Byungyeon Kim
- Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Dohyeon Lee
- KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
- Department of Physics, KAIST, Daejeon 34141, Republic of Korea
| | - Geon Kim
- KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
- Department of Physics, KAIST, Daejeon 34141, Republic of Korea
| | - Yoonjae Chung
- KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
- Department of Physics, KAIST, Daejeon 34141, Republic of Korea
| | - Hee Sik Shin
- Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Sungyoung Choi
- Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - YongKeun Park
- KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
- Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea
- Tomocube Inc., Daejeon 34109, Republic of Korea
| |
Collapse
|
3
|
Bénéfice M, Gorlas A, Marthy B, Da Cunha V, Forterre P, Sentenac A, Chaumet PC, Baffou G. Dry mass photometry of single bacteria using quantitative wavefront microscopy. Biophys J 2023; 122:3159-3172. [PMID: 37393431 PMCID: PMC10432216 DOI: 10.1016/j.bpj.2023.06.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/08/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023] Open
Abstract
Quantitative phase microscopy (QPM) represents a noninvasive alternative to fluorescence microscopy for cell observation with high contrast and for the quantitative measurement of dry mass (DM) and growth rate at the single-cell level. While DM measurements using QPM have been widely conducted on mammalian cells, bacteria have been less investigated, presumably due to the high resolution and high sensitivity required by their smaller size. This article demonstrates the use of cross-grating wavefront microscopy, a high-resolution and high-sensitivity QPM, for accurate DM measurement and monitoring of single microorganisms (bacteria and archaea). The article covers strategies for overcoming light diffraction and sample focusing, and introduces the concepts of normalized optical volume and optical polarizability (OP) to gain additional information beyond DM. The algorithms for DM, optical volume, and OP measurements are illustrated through two case studies: monitoring DM evolution in a microscale colony-forming unit as a function of temperature, and using OP as a potential species-specific signature.
Collapse
Affiliation(s)
- Maëlle Bénéfice
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Aurore Gorlas
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Baptiste Marthy
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Violette Da Cunha
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Patrick Forterre
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France; Département de Microbiologie, Institut Pasteur, Paris, France
| | - Anne Sentenac
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Patrick C Chaumet
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Guillaume Baffou
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France.
| |
Collapse
|
4
|
Rancu A, Chen CX, Price H, Wax A. Multiscale optical phase fluctuations link disorder strength and fractal dimension of cell structure. Biophys J 2023; 122:1390-1399. [PMID: 36872604 PMCID: PMC10111344 DOI: 10.1016/j.bpj.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/06/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023] Open
Abstract
Optical methods for examining cellular structure based on endogenous contrast rely on analysis of refractive index changes to discriminate cell phenotype. These changes can be visualized using techniques such as phase contrast microscopy, detected by light scattering, or analyzed numerically using quantitative phase imaging. The statistical variations of refractive index at the nanoscale can be quantified using disorder strength, a metric seen to increase with neoplastic change. In contrast, the spatial organization of these variations is typically characterized using a fractal dimension, which is also seen to increase with cancer progression. Here, we seek to link these two measurements using multiscale measurements of optical phase to calculate disorder strength and in turn to determine the fractal dimension of the structures. First, quantitative phase images are analyzed to show that the disorder strength metric changes with resolution. The trend of disorder strength with length scales is analyzed to determine the fractal dimension of the cellular structures. Comparison of these metrics is presented for different cell lines with varying phenotypes including MCF10A, MCF7, BT474, HT-29, A431, and A549 cell lines, in addition to three cell populations with modified phenotypes. Our results show that disorder strength and fractal dimension can both be obtained with quantitative phase imaging and that these metrics can independently distinguish between different cell lines. Furthermore, their combined use presents a new approach for better understanding cellular restructuring during different pathways.
Collapse
Affiliation(s)
- Albert Rancu
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | - Cindy X Chen
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | - Hillel Price
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | - Adam Wax
- Department of Biomedical Engineering, Duke University, Durham, North Carolina.
| |
Collapse
|
5
|
Grigorev GV, Lebedev AV, Wang X, Qian X, Maksimov GV, Lin L. Advances in Microfluidics for Single Red Blood Cell Analysis. BIOSENSORS 2023; 13:117. [PMID: 36671952 PMCID: PMC9856164 DOI: 10.3390/bios13010117] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/04/2022] [Accepted: 12/23/2022] [Indexed: 05/24/2023]
Abstract
The utilizations of microfluidic chips for single RBC (red blood cell) studies have attracted great interests in recent years to filter, trap, analyze, and release single erythrocytes for various applications. Researchers in this field have highlighted the vast potential in developing micro devices for industrial and academia usages, including lab-on-a-chip and organ-on-a-chip systems. This article critically reviews the current state-of-the-art and recent advances of microfluidics for single RBC analyses, including integrated sensors and microfluidic platforms for microscopic/tomographic/spectroscopic single RBC analyses, trapping arrays (including bifurcating channels), dielectrophoretic and agglutination/aggregation studies, as well as clinical implications covering cancer, sepsis, prenatal, and Sickle Cell diseases. Microfluidics based RBC microarrays, sorting/counting and trapping techniques (including acoustic, dielectrophoretic, hydrodynamic, magnetic, and optical techniques) are also reviewed. Lastly, organs on chips, multi-organ chips, and drug discovery involving single RBC are described. The limitations and drawbacks of each technology are addressed and future prospects are discussed.
Collapse
Affiliation(s)
- Georgii V. Grigorev
- Data Science and Information Technology Research Center, Tsinghua Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Mechanical Engineering Department, University of California in Berkeley, Berkeley, CA 94720, USA
- School of Information Technology, Cherepovets State University, 162600 Cherepovets, Russia
| | - Alexander V. Lebedev
- Machine Building Department, Bauman Moscow State University, 105005 Moscow, Russia
| | - Xiaohao Wang
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xiang Qian
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - George V. Maksimov
- Faculty of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
- Physical metallurgy Department, Federal State Autonomous Educational Institution of Higher Education National Research Technological University “MISiS”, 119049 Moscow, Russia
| | - Liwei Lin
- Mechanical Engineering Department, University of California in Berkeley, Berkeley, CA 94720, USA
| |
Collapse
|
6
|
Steelman ZA, Coker ZN, Kiester A, Noojin G, Ibey BL, Bixler JN. Quantitative phase microscopy monitors subcellular dynamics in single cells exposed to nanosecond pulsed electric fields. JOURNAL OF BIOPHOTONICS 2021; 14:e202100125. [PMID: 34291579 DOI: 10.1002/jbio.202100125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/11/2021] [Accepted: 07/16/2021] [Indexed: 06/13/2023]
Abstract
A substantial body of literature exists to study the dynamics of single cells exposed to short duration (<1 μs), high peak power (~1 MV/m) transient electric fields. Much of this research is limited to traditional fluorescence-based microscopy techniques, which introduce exogenous agents to the culture and are only sensitive to a single molecular target. Quantitative phase imaging (QPI) is a coherent imaging modality which uses optical path length as a label-free contrast mechanism, and has proven highly effective for the study of single-cell dynamics. In this work, we introduce QPI as a useful imaging tool for the study of cells undergoing cytoskeletal remodeling after nanosecond pulsed electric field (nsPEF) exposure. In particular, we use cell swelling, dry mass and disorder strength measurements derived from QPI phase images to monitor the cellular response to nsPEFs. We hope this demonstration of QPI's utility will lead to a further adoption of the technique for the study of directed energy bioeffects.
Collapse
Affiliation(s)
- Zachary A Steelman
- National Research Council Research Associateship Program, Washington, District of Columbia, USA
| | - Zachary N Coker
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas, USA
- SAIC, San Antonio, Texas, USA
| | - Allen Kiester
- 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division, JBSA Fort Sam Houston, San Antonio, Texas, USA
| | | | - Bennett L Ibey
- 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division, JBSA Fort Sam Houston, San Antonio, Texas, USA
| | - Joel N Bixler
- 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division, JBSA Fort Sam Houston, San Antonio, Texas, USA
| |
Collapse
|
7
|
Park HS, Price H, Ceballos S, Chi JT, Wax A. Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry. Cells 2021; 10:cells10092455. [PMID: 34572104 PMCID: PMC8465484 DOI: 10.3390/cells10092455] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/05/2021] [Accepted: 09/08/2021] [Indexed: 01/05/2023] Open
Abstract
Holographic cytometry is introduced as an ultra-high throughput implementation of quantitative phase imaging of single cells flowing through parallel microfluidic channels. Here, the approach was applied for characterizing the morphology of individual red blood cells during storage under regular blood bank conditions. Samples from five blood donors were examined, over 100,000 cells examined for each, at three time points. The approach allows high-throughput phase imaging of a large number of cells, greatly extending our ability to study cellular phenotypes using individual cell images. Holographic cytology images can provide measurements of multiple physical traits of the cells, including optical volume and area, which are observed to consistently change over the storage time. In addition, the large volume of cell imaging data can serve as training data for machine-learning algorithms. For the study here, logistic regression was used to classify the cells according to the storage time points. The analysis showed that at least 5000 cells are needed to ensure accuracy of the classifiers. Overall, results showed the potential of holographic cytometry as a diagnostic tool.
Collapse
Affiliation(s)
- Han-Sang Park
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA; (H.-S.P.); (H.P.); (S.C.)
| | - Hillel Price
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA; (H.-S.P.); (H.P.); (S.C.)
| | - Silvia Ceballos
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA; (H.-S.P.); (H.P.); (S.C.)
| | - Jen-Tsan Chi
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC 27708, USA;
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
| | - Adam Wax
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA; (H.-S.P.); (H.P.); (S.C.)
- Correspondence:
| |
Collapse
|
8
|
Steelman ZA, Sedelnikova A, Coker ZN, Kiester A, Noojin G, Ibey BL, Bixler JN. Visualizing bleb mass dynamics in single cells using quantitative phase microscopy. APPLIED OPTICS 2021; 60:G10-G18. [PMID: 34613190 DOI: 10.1364/ao.426147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
Understanding biological responses to directed energy (DE) is critical to ensure the safety of personnel within the Department of Defense. At the Air Force Research Laboratory, we have developed or adapted advanced optical imaging systems that quantify biophysical responses to DE. One notable cellular response to DE exposure is the formation of blebs, or semi-spherical protrusions of the plasma membrane in living cells. In this work, we demonstrate the capacity of quantitative phase imaging (QPI) to both visualize and quantify the formation of membrane blebs following DE exposure. QPI is an interferometric imaging tool that uses optical path length as a label-free contrast mechanism and is sensitive to the non-aqueous mass density, or dry mass, of living cells. Blebs from both CHO-K1 and U937 cells were generated after exposure to a series of 600 ns, 21.2 kV/cm electric pulses. These blebs were visualized in real time, and their dry mass relative to the rest of the cell body was quantified as a function of time. It is our hope that this system will lead to an improved understanding of both DE-induced and apoptotic blebbing.
Collapse
|
9
|
Fanous M, Shi C, Caputo MP, Rund LA, Johnson RW, Das T, Kuchan MJ, Sobh N, Popescu G. Label-free screening of brain tissue myelin content using phase imaging with computational specificity (PICS). APL PHOTONICS 2021; 6:076103. [PMID: 34291159 PMCID: PMC8278825 DOI: 10.1063/5.0050889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/24/2021] [Indexed: 05/03/2023]
Abstract
Inadequate myelination in the central nervous system is associated with neurodevelopmental complications. Thus, quantitative, high spatial resolution measurements of myelin levels are highly desirable. We used spatial light interference microcopy (SLIM), a highly sensitive quantitative phase imaging (QPI) technique, to correlate the dry mass content of myelin in piglet brain tissue with dietary changes and gestational size. We combined SLIM micrographs with an artificial intelligence (AI) classifying model that allows us to discern subtle disparities in myelin distributions with high accuracy. This concept of combining QPI label-free data with AI for the purpose of extracting molecular specificity has recently been introduced by our laboratory as phase imaging with computational specificity. Training on 8000 SLIM images of piglet brain tissue with the 71-layer transfer learning model Xception, we created a two-parameter classification to differentiate gestational size and diet type with an accuracy of 82% and 80%, respectively. To our knowledge, this type of evaluation is impossible to perform by an expert pathologist or other techniques.
Collapse
Affiliation(s)
| | - Chuqiao Shi
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Megan P. Caputo
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Laurie A. Rund
- Laboratory of Integrative Immunology & Behavior, Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | | | - Tapas Das
- Abbott Nutrition, Discovery Research, Columbus, Ohio 43219, USA
| | - Matthew J. Kuchan
- Abbott Nutrition, Strategic Research, 3300 Stelzer Road, Columbus, Ohio 43219, USA
| | | | | |
Collapse
|
10
|
Yamada H, Hirotsu A, Yamashita D, Yasuhiko O, Yamauchi T, Kayou T, Suzuki H, Okazaki S, Kikuchi H, Takeuchi H, Ueda Y. Label-free imaging flow cytometer for analyzing large cell populations by line-field quantitative phase microscopy with digital refocusing. BIOMEDICAL OPTICS EXPRESS 2020; 11:2213-2223. [PMID: 32341878 PMCID: PMC7173910 DOI: 10.1364/boe.389435] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/15/2020] [Accepted: 03/15/2020] [Indexed: 05/09/2023]
Abstract
We propose a line-field quantitative phase-imaging flow cytometer for analyzing large populations of label-free cells. Hydrodynamical focusing brings cells into the focus plane of an optical system while diluting the cell suspension, resulting in decreased throughput rate. To overcome the trade-off between throughput rate and in-focus imaging, our cytometer involves digitally extending the depth-of-focus on loosely hydrodynamically focusing cell suspensions. The cells outside the depth-of-focus range in the 70-µm diameter of the core flow were automatically digitally refocused after image acquisition. We verified that refocusing was successful with our cytometer through statistical analysis of image quality before and after digital refocusing.
Collapse
Affiliation(s)
- Hidenao Yamada
- Central Research Laboratory, Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka-Pref., 434-8601, Japan
| | - Amane Hirotsu
- Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka-Pref., 431-3192, Japan
| | - Daisuke Yamashita
- Central Research Laboratory, Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka-Pref., 434-8601, Japan
| | - Osamu Yasuhiko
- Central Research Laboratory, Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka-Pref., 434-8601, Japan
| | - Toyohiko Yamauchi
- Central Research Laboratory, Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka-Pref., 434-8601, Japan
| | - Tsukasa Kayou
- Electron Tube Division, Hamamatsu Photonics K.K., 314-5 Shimokanzo, Iwata, Shizuoka-Pref., 438-0126, Japan
| | - Hiroaki Suzuki
- Electron Tube Division, Hamamatsu Photonics K.K., 314-5 Shimokanzo, Iwata, Shizuoka-Pref., 438-0126, Japan
| | - Shigetoshi Okazaki
- HAMAMATSU BioPhotonics Innovation Chair Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka-Pref., 431-3192, Japan
| | - Hirotoshi Kikuchi
- Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka-Pref., 431-3192, Japan
| | - Hiroya Takeuchi
- Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka-Pref., 431-3192, Japan
| | - Yukio Ueda
- Central Research Laboratory, Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka-Pref., 434-8601, Japan
| |
Collapse
|
11
|
Park HS, Eldridge WJ, Yang WH, Crose M, Ceballos S, Roback JD, Chi JTA, Wax A. Quantitative phase imaging of erythrocytes under microfluidic constriction in a high refractive index medium reveals water content changes. MICROSYSTEMS & NANOENGINEERING 2019; 5:63. [PMID: 31814994 PMCID: PMC6885519 DOI: 10.1038/s41378-019-0113-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 05/06/2019] [Accepted: 10/15/2019] [Indexed: 05/19/2023]
Abstract
Changes in the deformability of red blood cells can reveal a range of pathologies. For example, cells which have been stored for transfusion are known to exhibit progressively impaired deformability. Thus, this aspect of red blood cells has been characterized previously using a range of techniques. In this paper, we show a novel approach for examining the biophysical response of the cells with quantitative phase imaging. Specifically, optical volume changes are observed as the cells transit restrictive channels of a microfluidic chip in a high refractive index medium. The optical volume changes indicate an increase of cell's internal density, ostensibly due to water displacement. Here, we characterize these changes over time for red blood cells from two subjects. By storage day 29, a significant decrease in the magnitude of optical volume change in response to mechanical stress was witnessed. The exchange of water with the environment due to mechanical stress is seen to modulate with storage time, suggesting a potential means for studying cell storage.
Collapse
Affiliation(s)
- Han Sang Park
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Will J. Eldridge
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Wen-Hsuan Yang
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC 27708 USA
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC 27708 USA
- Department of Biochemistry, Duke University, Durham, NC 27708 USA
| | - Michael Crose
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Silvia Ceballos
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - John D. Roback
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Jen-Tsan Ashley Chi
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC 27708 USA
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC 27708 USA
| | - Adam Wax
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| |
Collapse
|