Abstract
In sickle cell disease (SCD), hemoglobin molecules polymerize intracellularly and lead to a cascade of events resulting in decreased deformability and increased adhesion of red blood cells (RBCs). Decreased deformability and increased adhesion of sickle RBCs lead to blood vessel occlusion (vaso-occlusion) in SCD patients. Here, we present a microfluidic approach integrated with a cell dimensioning algorithm to analyze dynamic deformability of adhered RBC at the single-cell level in controlled microphysiological flow. We measured and compared dynamic deformability and adhesion of healthy hemoglobin A (HbA) and homozygous sickle hemoglobin (HbS) containing RBCs in blood samples obtained from 24 subjects. We introduce a new parameter to assess deformability of RBCs: the dynamic deformability index (DDI), which is defined as the time-dependent change of the cell’s aspect ratio in response to fluid flow shear stress. Our results show that DDI of HbS-containing RBCs were significantly lower compared to that of HbA-containing RBCs. Moreover, we observed subpopulations of HbS containing RBCs in terms of their dynamic deformability characteristics: deformable and non-deformable RBCs. Then, we tested blood samples from SCD patients and analyzed RBC adhesion and deformability at physiological and above physiological flow shear stresses. We observed significantly greater number of adhered non-deformable sickle RBCs than deformable sickle RBCs at flow shear stresses well above the physiological range, suggesting an interplay between dynamic deformability and increased adhesion of RBCs in vaso-occlusive events.
Keywords: Microfluidics, Red Blood Cell, Dynamic Cell Deformation, Cell Adhesion, Cell Mechanics, Biomechanics, Sickle Cell Disease
INNOVATION
Accurate measurement of RBC deformability and adhesion, which are the two key biophysical factors of vaso-occlusion in sickle cell disease (SCD), holds great potential as a marker for evaluation of disease progression, for gaining insight into disease pathophysiology and for development of novel therapeutics. We developed a versatile microfluidic platform integrated with a cell-dimensioning algorithm for quantitative assessment of dynamic deformability and adhesion of red blood cells (RBCs) in controlled microphysiological flow. The developed microfluidic system can probe deformation characteristics of RBCs at the single-cell level, as well as reflect microvasculature adhesion potential. To assess dynamic deformability of RBCs, we introduced a new parameter: dynamic deformability index (DDI), which is defined as the time dependent change of an adherent cell’s aspect ratio in response to fluid shear. Using this microfluidic system, we analyzed dynamic deformability and adhesion of sickle RBCs at physiological and above physiological flow shear stresses. The microfluidic system described here has the potential to be used in a high-throughput manner with an integrated automated image processing algorithm for measurement of RBC deformability and adhesion in patients’ blood.
INTRODUCTION
RBCs undergo dynamic reversible deformations in blood circulation and respond to fluid shear stresses rapidly with time constants in the range of 100 milliseconds1. However, RBCs lose their ability to deform dynamically with maladies such as diabetes2,3, malaria infection4–6, hereditary spherocytosis7, and various mutations affecting globin genes, such as SCD1,8. Decrease in RBC deformability can drastically affect blood circulation due to increased viscosity9. Thus, probing RBC’s dynamic deformability holds great potential for understanding the pathophysiology of various chronic, infectious, and genetic disorders, as well as for development of new monitoring and treatment regimens for these diseases.
SCD is the first recognized molecular disease, which was identified as a hemoglobin disorder more than 60 years ago10. In the roots of the disease is a point mutation in the sixth chain of the hemoglobin gene, which results in abnormal polymerization of hemoglobin molecules inside the RBCs11. Formation of polymerized hemoglobin fibers disrupts cell morphology, decreases RBC deformability (increase in stiffness) and changes membrane adhesive properties11–14. Abnormal adhesion and decreased deformability of RBCs are the main causes of blood vessel occlusion (vaso-occlusion) in SCD11,13,15–18. Vaso-occlusion is the hallmark of the disease and it has been associated with severe pain, crises, wide-spread organ damage, and early mortality19,20.
Molecular basis of the SCD have been investigated extensively21–24. However, there are limited number of studies focusing on the biophysical factors in tandem, such as the deformability and the adhesion of RBCs, which are highly dynamic phenomena8. Even though RBC deformability has been associated with vaso-occlusion in SCD, we have limited knowledge on dynamic deformation characteristics of RBCs adhered to endothelium associated proteins in microphysiological fluid flow conditions.
Various approaches have been utilized to measure RBC deformability, including optical tweezers25,26, micropipette aspiration27, atomic force microscopy (AFM)28,29, and microfluidics8,18. Even though optical tweezers, micropipette aspiration and AFM analyses have enabled sensitive and controlled measurement of RBC mechanical properties, these methods are typically performed in open environments without physiological fluid flow. On the other hand, microfluidic techniques allow incorporation of physiological flow conditions, as well as biologically relevant adhesion surfaces in a closed setting, which better mimic the natural physiological environment of the RBCs in blood flow. Previously, we have shown the heterogeneity of adhered sickle RBCs in terms of their deformability in quasi-static conditions, in a microfluidic environment8.
Here, we present a microfluidic approach and a cell dimensioning algorithm to probe dynamic deformation behavior of adhered RBCs under physiological flow conditions at the single-cell level. Utilizing this approach, we probed the dynamic deformability of healthy hemoglobin A (HbA)- and homozygous HbS-containing RBCs using whole blood samples from 24 subjects. We defined a new parameter to evaluate dynamic deformability of RBCs: the dynamic deformability index (DDI), which is a function of the time dependent change of a cell’s aspect ratio in response to fluid flow shear stress. We report for the first time on subpopulations of RBCs in terms of dynamic deformation characteristics in SCD: deformable and non-deformable adherent RBCs. Furthermore, we analyzed adhesion of non-deformable RBCs, in comparison to deformable RBCs, quantitatively at physiological and above physiological flow shear stresses in blood samples obtained from SCD patients. We observed significantly greater number of adhered non-deformable sickle RBCs than deformable sickle RBCs at flow shear stresses well above the physiological range, suggesting a potential interplay between dynamic deformability and increased adhesion of RBCs in vaso-occlusive events.
MATERIALS AND METHODS
Microfluidic device fabrication
The microfluidic system consisted of fibronectin (FN) functionalized glass surface, poly(methyl methacrylate) (PMMA, McMaster-Carr, Elmhurst, IL) top, and a 50-μm-thick double-sided adhesive (DSA) film (DSA, iTapestore, Scotch Plains, NJ) in the middle, defining the microchannel borders (Fig. 1a). The PMMA and DSA parts were micro-machined via VersaLaser system (Universal Laser Systems Inc., Scottsdale, AZ). The PMMA part encompassed inlets and outlets (0.61 mm in diameter and spaced 26 mm) of the microchannel. Channels were developed and operated to mimic the size scale and bulk flow conditions of post-capillary venules8. Wall shear stress for blood flow in post-capillary venules was estimated to be in the range of 1–5 dyne/cm2.14,30–32
Figure 1.
Microfluidic system for probing red blood cell (RBC) dynamic deformability. (a) Microfluidic system is composed of a poly(methyl methacrylate) (PMMA) cover, a double-sided adhesive (DSA) layer, which defines the channel shape and height (50 μm) and a glass slide base. (b) Microfluidic channels are functionalized with fibronectin, which mimics the microvasculature wall in a closed system and can process whole blood. (c) PMMA top cover in the microfluidic system comprises micromachined inlets and outlets for tubing connections and blood injection. (d) Microfluidic system is placed on an automated microscope stage for live cell image recording.
Surface chemistry of microfluidic channels
Microchannels were surface functionalized with FN to mimic the vascular wall surface. FN is an adhesive glycoprotein that is present on blood vessel wall surfaces. FN binds to RBC’s integrin α4β1 receptor (also known as very late antigen-4 or VLA-4 integrin33–35) (Fig. 1b). FN proteins were immobilized in microfluidic channels through N-g-maleimidobutyryloxy succinimide ester (GMBS) coupling agent that is crosslinked to 3-aminopropyl triethoxysilane (APTES) molecules on the microchannel surface8. Briefly, GMBS stock and working solutions were prepared by dissolving 25 mg of GMBS in 0.25 mL DMSO, and diluting with ethanol to obtain 0.28% v/v ratio, respectively. FN working solution (100 μg/mL) was prepared by diluting the stock solution with phosphate buffer saline (PBS). Lyophilized bovine serum albumin (BSA) was dissolved in PBS (3 mg/mL), which was used to block the surface against non-specific adhesion. The microfluidic channels were rinsed with 30 μL of PBS and ethanol, and 20 μL of GMBS working solution was injected twice and incubated for 15 minutes at room temperature. Next, channels were rinsed twice with 30 μL of ethanol and PBS. Then, 20 μL of FN solution was injected into the microchannels and incubated for 1.5 hours at room temperature. The microfluidic channel surfaces were passivated by injecting 30 μL of BSA solution and incubated at 4°C overnight. Microchannels were rinsed with PBS immediately before blood sample processing.
Blood processing in microchannels
Discarded de-identified patient blood samples were obtained from the Hematology and Oncology Division of University Hospitals under institutional review board (IRB) approval. Blood samples were collected in ethylenediaminetetraacetic acid (EDTA) anticoagulant vacutainer tubes and injected into microchannels, using disposable syringes, at precisely controlled flow shear stresses by using a syringe pump (New Era Inc., Farmingdale, NY). Whole blood samples without any dilution or pre-processing were used in the experiments. First, blood samples were introduced into the channels at 15.4 dyne/cm2 until the microchannel was completely filled with blood (Fig. 1c); then, 15 μL of blood was pumped into the channel at a shear stress of 1.54 dyne/cm2. After blood flow, channels were rinsed with flow cytometry buffer (R&D Systems, Minneapolis, MN) to remove non-adherent cells. For deformability analysis of single RBCs, an imaging area with adhered RBCs was selected and controlled shear stress with stepwise increments of 1 dyne/cm2, up to 50 dyne/cm2 was applied until the detachment of the RBCs was recorded. Microfluidic system design allowed us to precisely control fluid flow shear stress in a closed system, mimicking the physiological conditions of microvasculature. All the experiments were conducted at room temperature.
Microchannel visualization
The microfluidic device was placed on an Olympus IX83 inverted motorized microscope stage for live cell image recording and analysis during precisely controlled fluid flow (Fig. 1d). Olympus Cell Sense live-cell imaging and analysis soft ware was utilized to obtain individual RBC recordings, as well as high-resolution images of the whole microfluidic channel with the adhered RBCs. Olympus (20./0.45 ph2 and 40./0.75 ph3) long working distance objective lenses were used for imaging, providing 445 μm. 332 μm and 223 μm. 166 μm imaging areas, respectively. Real-time videos of RBC deformations under applied fluid flow were recorded at 7 frames per second (fps) rate and converted to single-frame images for further processing and analysis.
Dynamic deformability analysis
Dimensions and cell aspect ratio (CAR) of single HbA (Fig. 2a) and HbS (Fig. 2b) RBCs were determined by image processing using a custom MATLAB code (Mathworks Inc., Natick, Massachusetts), which is provided in the supplementary information.
Figure 2.
Automated dimensioning of adhered RBCs in microchannels. Length and width measurements of (a) deformable and (b) non-deformable RBCs. (i) Recorded single RBC images were converted to binary and the intensity threshold was adjusted to the level where the cell border was distinguishable. Vertical (ii) and horizontal (iii) intensity profiles along the binary image, where 0 represents black and 1 represents white. The length and width of the RBCs were determined using the outer edges of the black cell border. (iv) Unprocessed RBC images were cropped to contain the RBC of interest in the frame.
Briefly, each recorded frame was cropped to the size of the analyzed RBC (Fig. 2a–iv,b–iv). First, cropped frames were converted to binary and the centroids of the RBCs were determined (Fig. 2a–i,b–i). Then, intensity profiles along the vertical and horizontal axes were obtained and plotted through the centroid (Fig. 2a–ii;iii,b–ii;iii). Next, the data points from the plots were extracted and the points indicating the cell borders were used to determine the width and length of each RBC. Once all frames have been processed for each cell, RBC CARs were plotted against time, where time was calculated by the total number of frames divided by the fps rate. Developed image processing algorithm for determination of RBC dimensions and CAR provides accurate assessment of cell deformation in a time-efficient manner.
RESULTS AND DISCUSSION
We analyzed deformability of single HbA and HbS-containing RBCs by examining CAR for each individual frame that is recorded. Change in CAR, measured at no flow condition and at detachment instant (Fig. 3a), indicates deformability of RBCs. Healthy RBCs have a unique biconcave-discoid morphology, which plays a role in RBC’s deformability and its passage through the microvasculature. We studied deformability of HbA and HbS-containing RBCs and observed subgroups of HbS containing RBCs: HbS deformable (with characteristic biconcave morphology) and HbS non-deformable (without characteristic biconcave morphology) (Fig. 3a).
Figure 3.
Dynamic deformability analysis of single RBCs containing healthy and sickle hemoglobin in microfluidic channels. (a) Different types of RBCs adhered on fibronectin functionalized surface in the absence of flow and right before detachment in response to applied flow. From left to right, healthy (HbA) RBCs, deformable HbS RBCs and non-deformable HbS RBCs, respectively. Scale bars represent 8 μm (length). Arrows indicate direction of flow. (b) Cell aspect ratio (CAR) change over time for typical HbA, deformable HbS and non-deformable HbS RBCs are shown. The CAR was calculated real-time by dividing the vertical width by the horizontal length (inset, y/x).
CAR is a calculated ratio between the vertical width and the horizontal length of a cell (Fig. 3b). In response to fluid flow, HbA RBCs displayed an initial deformation (steep decrease in CAR), and then maintained their deformed state until cell detachment, which created a plateau (Fig. 3b, typical deformation and detachment behavior is shown in Supplementary Video 1 of the Supplementary Information section). On the other hand, deformable HbS RBCs displayed a continuous change in CAR until detachment, whereas non-deformable RBCs deformed negligibly (Fig. 3b).
We evaluated deformability of single RBCs in time from healthy and SCD subjects using DDI (Fig. 4). DDI was determined as the rate of aspect ratio change in time and calculated by Equation (1):
(1) |
where α is the angle between the change in CAR and the time (Fig. 4a). For HbA RBCs, only the initial deformation region was taken into the account for DDI calculation, avoiding the plateau region (Fig. 4b). When RBCs were analyzed for deformation, healthy RBCs deformed at a much quicker rate and greater than deformable HbS RBCs (Fig. 4b). Both deformable HbA and HbS RBCs exhibited dynamic deformation until detachment, whereas non-deformable HbS RBCs demonstrated minimal dynamic deformation (Fig. 4b).
Figure 4.
Dynamic deformability of healthy and sickle RBCs. (a) Dynamic deformability index (DDI) is determined as the rate of aspect ratio change in time in response to fluid shear stress. DDI = tan(α), where α is the angle between the change in CAR and the time of interest. (b) Healthy RBCs deformed at a much quicker rate and greater than non-deformable HbS and deformable HbS RBCs. Shown is the average curve for each group during deformation and the grey area indicates the time frame for when the HbA RBCs reached their deformed state. (c) The DDIs of each group were compared for the same amount of time (2 seconds, indicated by the grey area in b). The horizontal lines between individual groups represent statistically significant difference based on Kruskal–Wallis test followed by one-way ANOVA test with Fisher’s posthoc test for multiple comparisons (n = 3–6 cells in a total of 12 blood samples; p < 0.05). Error bars represent standard error of the mean.
Next, DDI was determined for each cell type (Fig. 4c). HbA-containing RBCs showed significantly greater DDI than HbS-containing deformable and non-deformable RBCs after 2 seconds into deformation (Fig. 4c) (Kruskal–Wallis test followed by one-way ANOVA test, n = 3–6 cells in a total of 12 blood samples; p < 0.05). Deformable HbS-containing RBCs displayed significantly higher DDI than non-deformable HbS-containing RBCs (Fig. 4c) (p < 0.05). These results showed a significant difference in dynamic deformability between healthy and sickle RBCs. Furthermore, our findings suggest that there exist subpopulations of HbS-containing RBCs based on DDI.
Next, we analyzed the adhesion of HbS-containing RBCs in SCD patient blood samples to FN immobilized microfluidic channels under controlled physiological flow shear stresses (Fig. 5). The number of adhered RBCs was quantified at shear stresses of 1 dyne/cm2, 4 dyne/cm2, and 50 dyne/cm2 (Fig. 5a–c). Adhered RBCs were categorized as either: (i) deformable with characteristic biconcave morphology or (ii) non-deformable without characteristic biconcave morphology (Fig. 5a–c). We observed a decrease in the number of adhered RBCs with increased flow shear stresses (Fig. 5d). The number of adhered RBCs was significantly lower at 50 dyne/cm2 shear stress, in comparison with shear stresses of 1 dyne/cm2 and 4 dyne/cm2 (Fig. 5d, one-way ANOVA test with Fisher’s post-hoc test for multiple comparisons; p < 0.05). These findings indicate subpopulations of RBCs in terms of adhesion strength to FN functionalized surface.
Figure 5.
Subpopulations of sickle RBCs based on adhesion and deformability in microphysiological flow. (a–c) Number of adhered RBCs and morphologies were analyzed at step-wise increased shear stresses of (a) 1 dyne/cm2, (b) 4 dyne/cm2 and (c) 50 dyne/cm2. Deformable (with characteristic biconcave shape) and non-deformable RBCs (without characteristic biconcave shape) were determined based on morphological characterization. Scale bars represent 50 μm and 5 μm (length) in insets, respectively. (d) Number of adhered RBCs were significantly lower at 50 dyne/cm2 shear stress compared to shear stresses of 1 dyne/cm2 and 4 dyne/cm2. (e) Number of adhered non-deformable RBCs at 50 dyne/cm2 shear stress was significantly higher than number of adhered deformable RBCs. The horizontal lines between individual groups represent statistically significant difference based on a one-way ANOVA test with Fisher’s post-hoc test for multiple comparisons (p < 0.05). n represents the number of subjects. Data point crossbars represent the mean and error bars represent the standard error of the mean.
Despite the decreased number of adhered RBCs at 50 dyne/cm2, we observed a subset of RBCs remaining adhered to the microchannel surface. Then, we quantified the number of adhered deformable and non-deformable RBCs in this subset. We observed a significantly greater number of non-deformable HbS RBCs compared to deformable RBCs that adhered at a flow shear stress level (i.e. 50 dyne/cm2) well above the physiological range (one-way ANOVA test with Fisher’s post-hoc test for multiple comparisons; p < 0.05). These results suggest an interplay between dynamic deformability and increased adhesion of RBCs.
In mammals, the RBC has uniquely evolved to lose its nucleus and organelles to become remarkably flexible36. RBC’s adherence to vascular wall and other cells is insignificant1, while most other cell types depend on adhesive interactions to survive37. A typical RBC travels about 300 miles in its lifespan of about 120 days in the body without jamming the microcirculation1. An RBC repeatedly deforms and squeezes through narrow capillaries that can be as small as half of its diameter1,38,39. The associations between RBC’s adhesion and its deformability are not fully understood.
SCD is a genetically inherited disease that is associated with considerable cost, morbidity, and mortality20,40. Molecular events taking place in the disease pathophysiology is very well recognized. However, the links between these molecular changes and the response in mesoscale cell biophysical properties and the macroscale vasculature events affecting blood circulation are yet to be discovered41,42. On the other hand, biophysical alterations happening at the cellular level can potentially reflect the progression of the disease. In this study, we showed significantly greater adhesion, both qualitatively and quantitatively, of RBCs with diminished deformation capabilities. These results may indicate a critical role for non-deformable RBCs in vaso-occlusion due to their strong adhesion at flow shear stresses well above the physiological range.
The contribution of different cell types in initiation and propagation of the vaso-occlusion are still under investigation. Earlier literature has suggested that vaso-occlusion is initiated by the adhesion of reversibly sickled deformable RBCs, and propagated with the trapping and adhesion of irreversibly sickled non-deformable RBCs, resulting in reduced blood flow and obstruction14,43. In our study, we observed significantly greater number of adhered non-deformable RBCs compared to deformable RBCs at a shear stress (50 dyne/cm2) well above the physiological range (1–5 dyne/cm2). The fact that non-deformable sickle RBCs remained adhered at high shear stresses indicates their enhanced adhesion characteristics, which can be indicative of their critical role in vaso-occlusion. Furthermore, stronger adhesion of RBCs with decreased deformability supports the idea that cyclic polymerization of HbS induces rearrangement of membrane proteins and membrane protrusions, resulting in increased adhesion11,44,45.
It is still not clear which proteins are the most critical in mediating cellular adhesive events in vaso-occlusion. This is partly due to the complex nature of interactions between blood cells and the endothelium33,46. Most studies on sickle RBC adhesion have been conducted with extensive sample preparation protocols, such as washing and excessive dilutions, potentially compromising the effect of autologous plasma on adhesive events. Lack of plasma proteins in these studies, could have masked various interactions. FN has been shown to mediate sickle RBC adhesion with endothelial damage and inflammatory activation34,46. In blood vessels, FN can be found in three forms: (i) as sub-endothelial matrix protein, (ii) as soluble in plasma or (iii) as bound on endothelial cells34,47. Furthermore, multiple reports suggest that fibronectin plays a role in sickle RBC adhesion33,46,48–50. In this study, we selected FN based on earlier studies and due to its potential clinical relevance in SCD.
A limitation of this study is the use of discarded de-identified patient blood samples, due to which patient’s clinical status was not associated with the findings. Patient’s clinical status would include the disease severity and treatment modality, including transfusion or hydroxyurea. For example, hydroxyurea is the only U.S. Food and Drug Administration (FDA)-approved drug for the management of SCD, which increases hemoglobin F (HbF) content in RBCs. Increased intracellular HbF molecules interferes with sickle hemoglobin polymerization and prevents any subsequent deleterious effects on RBC membrane. Since hydroxyurea treatment has been shown to decrease RBC adhesion in the literature51,52, it is plausible that blood samples of patients under hydroxyurea treatment will possess less adherent RBCs. We will investigate these aspects in future clinical studies with consented SCD patients.
Molecular events alter cellular composition and properties, and these changes in RBCs collectively affect circulation, which will retrospectively have an impact on RBCs. In SCD, initial obstruction of blood flow in venules due to increased adhesion and reduced deformability of sickle RBCs leads to further hypoxia, which in return causes further sickling and further hypoxia. This phenomenon is also known as the vicious cycle11,53. Thus, accurate measurement of RBC deformability and adhesion, which are the two key factors in vaso-occlusion, hold great potential as a marker for assessment of disease progression, for gaining insight into disease pathophysiology, and for development of novel therapeutics.
CONCLUSIONS
In summary, we present a microfluidic system integrated with an image processing algorithm to probe DDI of adhered RBCs. Based on DDI, we report subpopulations of HbS-containing RBCs. A unified investigation of adhesion and deformability properties of RBCs may have significant implications for understanding vaso-occlusion events and for phenotyping disease pathophysiology. The microfluidic system described here has the potential to be used in a high-throughput manner with an integrated automated image processing algorithm that determines DDI of individual adhered RBCs. Studying dynamic deformation of cells may have implications in other multi-system diseases such as β-thalassemia, diabetes mellitus, hereditary spherocytosis, polycythemia vera, and malaria.
Supplementary Material
Deformation and detachment of a typical adhered RBC. Scale bar represents 3.6 μm (length). [Multimedia View] Can be viewed at http://www.worldscientific.com/doi/suppl/10.1142/S2339547816400045
Acknowledgments
This work was supported by Grant No. 2013126 from the Doris Duke Charitable Foundation. The authors acknowledge with gratitude the contributions of patients and clinicians at the Seidman Cancer Center (University Hospitals, Cleveland). The authors also acknowledge Grace Gongaware, a student at the Cleveland Institute of Art for crafting the scientific illustrations. U.A.G. would like to thank the Case Western Reserve University, University Center for Innovation in Teaching and Education (UCITE) for the Glennan Fellowship, which supports the scientific art program and the art student internship at Case Biomanufacturing and Microfabrication Laboratory.
Footnotes
AUTHORSHIP CONTRIBUTIONS
Y.A. and U.A.G. developed the idea; Y.A., Y.M. and U.A.G. designed the experiments; Y.A. and Y.M. performed the experiments; Y.A., Y.M. and U.A.G. analyzed the results; Y.A., Y.M. and U.A.G. prepared the figures and the supplementary information; and Y.A., Y.M., J.A.L. and U.A.G. wrote the manuscript.
DISCLOSURE OF CONFLICTS OF INTEREST
The authors declare no competing financial interests. Y.A., J.A.L. and U.A.G. filed a patent application pertaining to the results presented in this paper: Patent Cooperation Treaty Application (PCT/US2015/042907): “Biochips to Diagnose Hemoglobin Disorders and Monitor Blood Cells”.
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Supplementary Materials
Deformation and detachment of a typical adhered RBC. Scale bar represents 3.6 μm (length). [Multimedia View] Can be viewed at http://www.worldscientific.com/doi/suppl/10.1142/S2339547816400045