SYSTEM AND METHOD FOR CELL LEVITATION AND MONITORING

Abstract

Magnetic cell levitation and cell monitoring systems and methods are disclosed. A method for separating a heterogeneous population of cells is performed by placing a microcapillary channel containing the heterogeneous population of cells in a magnetically-responsive medium in the disclosed levitation system and separating the cells by balancing magnetic and corrected gravitational forces on the individual cells. A levitation system is also disclosed, having a microscope on which the microcapillary channel is placed and a set of two magnets between which the microcapillary channel is placed. Additionally, a method for monitoring cellular processes in real-time using the levitation system is disclosed.

Claims

1. A method for separating a heterogeneous population of cells, the method comprising the steps of: placing a microcapillary channel containing a sample of the heterogeneous population of cells in a magnetically-responsive medium into a levitation system, wherein the system comprises a set of two magnets producing a magnetic field, wherein a space between the two magnets is sized to receive the microcapillary channel; and a microscopy device having a stage between the set of two magnets on which the microcapillary channel is placed; and levitating the heterogeneous population of cells in the magnetically-responsive medium by balancing a magnetic force applied to each of the cells by the magnetic field of the magnets with a corrected gravitational force of the cells in the magnetically-responsive medium, thereby separating the heterogeneous population of cells; and obtaining an image of the heterogeneous population of cells using the microscopy device and analyzing the image to characterize the heterogeneous population of cells.

2. The method of claim 1, wherein the heterogeneous population of cells are differentiated from others in at least one of their magnetic susceptibility and cell density, and a cell variant creates this difference, wherein the cell variant is selected from the group consisting of cell type, cell-cycle stage, malignancy, disease state, activation state, cellular age, infection state, cellular differentiation, apoptosis of the cell, and phagocytosis of the cell.

3. The method of claim 1, further comprising the step of separating the individual cells to an equilibrium exhibiting a balance between gravitational forces and magnetic forces on the individual cell.

4. The method of claim 1, wherein the heterogeneous population of cells is selected from a group consisting of red blood cells, leukocytes, lymphocytes, phagocytes, platelets, and cancer cells.

5. The method of claim 1, wherein the levitation system comprises a first mirror on a first open side of the microcapillary channel and a second mirror on a second open side of the microcapillary channel in which the mirrors are oriented at oblique angles relative to the path between the mirrors, and wherein the method further comprises the step of reflecting light from a light source within the microscope with the first mirror through the sample of cells and towards the second mirror.

6. The method of claim 1, wherein the microscopy device is an upright fluorescence microscope leveled horizontally on its side, a side-viewing microscope, a cell phone camera, a lensless charged-coupled device (CCD) or complementary metal-oxide semiconductor (CMOS) system, or an inverted microscope.

7. The method of claim 1, wherein the magnetically-responsive medium is a paramagnetic medium and comprises gadolinium.

8. The method of claim 1, wherein the method is performed at the point of care, and wherein the magnetic field does not interfere with mobile devices.

9. The method of claim 1, wherein the magnetic field includes a magnetic field gradient created by electrical magnets using alternating currents.

10. The method of claim 1, wherein the set of two magnets are permanent magnets in an anti-Helmholtz configuration.

11. The method of claim 1, further comprising the step of observing the heterogeneous population of cells are in real time by the microscopy device, the microscopy device providing various images of the heterogeneous population of cells over a duration of time.

12. The method of claim 11, further comprising the steps of altering a physical environment of the heterogeneous population of cells and of observing a response of the heterogeneous population of cells as a result of the physical environment.

13. The method of claim 11, further comprising the steps of introducing a treatment agent into the heterogeneous population of cells and of observing a response of the heterogeneous population of cells as a result of the treatment agent.

14. The method of claim 13, wherein observing a response of the heterogeneous population of cells as a result of the treatment agent includes monitoring a continued response of the heterogeneous population of cells to establish the emergence of resistance of the heterogeneous population of cells to the treatment agent.

15-16. (canceled)

17. The method of claim 11, wherein individual cells in the heterogeneous population of cells are individually monitored and tracked during the step of observation.

18. The method of claim 11, wherein the step of observation includes monitoring the heterogeneous population of cells during different phases of the cell life cycle.

19. The method of claim 1, wherein the heterogeneous population of cells includes some cells that are infected with a virus.

20. The method of claim 1, wherein the heterogeneous population of cells are levitated in a patient sample.

21. The method of claim 1, wherein analyzing the image to characterize the heterogeneous population of cells involves evaluating morphological differences between the heterogeneous population of cells.

22. The method of claim 1, wherein analyzing the image to characterize the heterogeneous population of cells involves producing a cell distribution profile over a range of levitational heights.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0044] FIG. 1 details magnetic levitation-mediated screening and modulation of cells. FIG. 1a is a schematic of magnetic cellular levitation and manipulation in a magnetic field. FIG. 1b is a schematic of the forces on a cell due to differences in magnetic susceptibility of the cell and the medium. FIG. 1c is a plurality of views of the magnetic levitation system. FIG. 1d is a front and side contour plot of the magnetic field gradient induced by anti-Helmholtz configured magnets. FIG. 1e is a cell culture image of RBCS in 40 mM Gd.sup.+ solution.

[0045] FIG. 2 details the characterization of cell separation using magnetic levitation. FIG. 2a is a density histogram of monocytes, lymphocytes, basophils, PMNs, eosinophils, and RBCs. FIG. 2b is a cell culture image of fluorescently-labeled RBCs, PMNs, and lymphocytes that have undergone magnetically-driven, density based separation in 30 mM Gd.sup.+. FIG. 2c is a cell culture image of RBCs levitated in 20, 35, 50, and 100 mM Gd.sup.+. FIG. 2d is a cell culture time-lapse image set of the separation of old and young RBCs. FIG. 2e is a fluorescently labeled cell culture image of old and young RBCs at their equilibrium levitation height. FIG. 2f is a graphical representation of the analytical equilibrium time as a function of equilibrium height of old and young RBCs. FIG. 2g is a cell culture time-lapse image set of the levitation of sedimented RBCs in the magnetic levitation device. FIG. 2h is a graphical representation of the time-dependent location of RBCs levitating from the bottom surface of the microcapillary to their equilibrium point.

[0046] FIG. 3 details the static levitation of functionally-altered blood cells. FIG. 3a is a fluorescently labeled cell culture image detailing the changes in PMN density associated with PMA activation. FIG. 3b is a low magnification image of levitating activated and resting PMN, with an inset showing the shape and optical density differences. FIG. 3c is a pictorial representation of the roundness differences between resting and activated PMN. FIG. 3d is fluorescently-activated sell seeding results for resting and activated PMN. FIG. 3e is a cell culture image detailing the differences in confinement height between resting, activated, and GSH-treated PMNs. FIG. 3f is a cell culture image of magnetically-driven density separation of blood cells. The left panel shows PMNs, lymphocytes, and platelets. The right panel shows resting PMNs, an activated PMN (arrow), and two eosinophils (arrowheads). FIG. 3g is a cell culture image 2 hours after levitation detailing the homo-typical aggregation of PMNs. FIG. 3h is a cell culture image detailing the phagocytosis of salmonella by human PMNs.

[0047] FIG. 4 details the functional interrogation of magnetically-levitated blood cells. FIG. 4a shows manipulation of a cell or discrete group of cells via localized laser irradiation. FIG. 4b is a cell culture image set showing an increase in confinement height with UV stimulation, and parmagnetic-mediated cell clustering (dashed circle.) FIG. 4c is a cell culture image set showing the changes in magnetic properties of RBCs due to increased intracellular ATP, causing cell clustering and decreased levitation.

[0048] FIG. 5 details the versatility of magnetic levitation for clinical point of care diagnosis. FIG. 5a shows the brightfield image of the levitation of breast cancer cells (TC), PMNs, and lymphocytes from diluted blood spiked with TC. FIG. 5b is the fluorescent imaging of the levitated cells, TC being the larger cells in the top row. FIG. 5c is a merge of FIGS. 5a and 5b. FIG. 5d is a cell culture image of the levitation of healthy RBCs in the presence of 10 mM Na metabisulfate. FIG. 5e is a cell culture image of the levitation of sickle cell RBCs in the presence of 10 mM Na metabisulfate.

[0049] FIG. 6 is a schematic of one embodiment of the levitation system. FIG. 6a is an annotated photograph of the levitation system. FIG. 6b illustrates the dimensions of some of the supporting elements.

[0050] FIG. 7 is a graphical representation of the equilibrium height as a function of density difference between the suspending cell and the paramagnetic medium.

[0051] FIG. 8 is a micrograph of blood cells spiked with non-small cell lung cancer (NSCLC) cells (HCC-827) and the corresponding observed cell distribution profile. For this experiment, RBCs were previously lysed and cells were sorted using 30-mM Gadavist (Gd.sup.+) solution.

[0052] FIG. 9 is a micrograph of a non-small cell lung cancer cell (NSCLC) detected from a patient blood sample.

[0053] FIG. 10 illustrates the separation efficiency of breast cancer cells. FIG. 10a is a micrograph of fluorescently-labeled breast cancer cells (MDA) spiked in a blood. FIG. 10b shows the separation efficiency of breast cancer cells spiked in a blood sample with different concentrations in which the data points represent the mean of three replicates with ±error bars standard deviation.

[0054] FIG. 11 illustrates the observed profile of peripheral blood mononuclear cells (PBMCs) of healthy and leukemia patients.

[0055] FIG. 12 illustrates the real-time density changes of single cells after application to hydrochloric acid (HCl). FIG. 12a shows micrographs of control (untreated) and HCl-treated MDA breast cancer cells in which the control cells maintain their levitation height (i.e., density), but the HCl-applied cells sink to the bottom of the channel (i.e., z=−500 μm). FIG. 12b details the real-time observation of a HCl-applied single cell in which a viability assay was also conducted using Calcein (green fluorescent) for live cell and Propidium Iodine (red fluorescent) for dead cell. Fluorescent images and bright field images were overlapped each other to compose the micrographs at different time point. While the cell is sinking through the channel bottom and it is gaining density, the fluorescent profile on the cell is changing from green to red indicating a dying cell. FIG. 12c shows real-time density measurement of acid-treated single cells in which it is illustrated that, even if the acid is applied to the cells at the same time, each of the cells behave differently due to cellular heterogeneity.

[0056] FIG. 13 illustrates comparative height distribution profiles obtained using the magnetic levitation-mediated platform of untreated and ampicillin-treated bacteria (i.e., E. coli) cells, in terms of magnetic levitation heights. Live and dead bacterial cells have distinct magnetic profiles that can be detected rapidly in real-time.

[0057] FIG. 14 illustrates magnetic levitation and characteristics of yeast cells. FIG. 14a graphs the viability of yeast cells after different drug treatment for 24 hours. FIG. 14b illustrates how the levitation heights, magnetic properties and intrinsic magnetic signatures of yeast cells are altered after drug treatment with 100 μM cantharidin and 100 μM fluconazole.

[0058] FIG. 15 provides data relating to the observed drug responses and observed changes in magnetic profile of cells. FIG. 15a shows optical density (OD) profiles, FIG. 15b shows distribution inside the channel, FIG. 15c shows calculated single-cell densities, and FIG. 15d provides various micrographs of cells treated with different concentration of drug (Fluconazole), the treatment concentration being listed above each micrograph. It is observed that cellular magnetic profiles and densities change after treatment with different drug concentrations and these changes can be monitored with the magnetic levitation system at the single-cell level.

[0059] FIG. 16 illustrates that budding yeast cells have different densities during different phases of cell cycle and have distinct magnetic profiles. Mass, density, and volume of cells (i.e., Saccharomyces cerevisiae) through the cell cycle can be measured by monitoring their levitation heights.

[0060] FIG. 17 provides magnetic profiles collected illustrating cellular senescence and aging. The younger yeast cells are isolated by centrifuging at 1400 rpm, while the older cells are isolated by centrifuging at 900 rpm and 1400 rpm, respectively. Once they are isolated at the respected centrifugation speeds, the disclosed cellular levitation device has shown that young and old cell populations have different cellular magnetic profiles and levitate at different heights.

[0061] FIG. 18 details how the cellular levitation device can be used to identify microorganisms. Yeast and bacteria cells are shown in FIG. 18 to have different characteristic magnetic profiles; accordingly, individual microorganisms can be identified and separated from a mixed culture at low concentrations according to their densities using the magnetic levitation-based platform.

[0062] FIG. 19 provides micrographs and corresponding magnetic profiles of healthy and hepatitis C virus (HCV) infected hepatocytes. Infected cells are clearly distinguished from healthy cells by density and magnetic profiles.

[0063] FIG. 20 provides magnetic profiles of RBCs of non-diabetic and diabetic mice (type I diabetes).

[0064] FIG. 21 illustrates changes in magnetic levitation profiles during antibiotic treatment. E. coli cells were treated two hours with different classes of antibiotics; 1 mg/mL of ampicillin (beta-lactam antibiotic) as in FIG. 21a, ciprofloxacin (fluoroquinolone antibiotic) as in FIG. 21b, and gentamicin (aminoglycoside antibiotic) as in FIG. 21c.

[0065] FIG. 22 illustrates changes in magnetic levitation profiles of multi-drug resistant bacteria during antibiotic treatment. The effects of different antibiotics including ampicillin, ciprofloxacin, and gentamicin, as in FIGS. 22a, 22b, and 22c, respectively, on multi-drug resistant E. coli was investigated using the magnetic levitation system.

DETAILED DESCRIPTION OF THE INVENTION

[0066] The present disclosure provides a technique for real-time interrogation and monitoring of biological functions of magnetically-suspended cells. To achieve this, heterogeneous populations of cells are levitated and confined in a microcapillary channel, for example a tube, placed between two magnets, for example a pair of permanent magnets in anti-Helmholtz configuration. This enables equilibration of cells at different heights based on the balance between magnetic and corrected gravitational forces acting on cells.

[0067] Permanent magnets in the setup can make this system easier to be replicated and used by biomedical labs who would have interest in its broad applications. Using the permanent magnet system, constant magnetic field lines are created and thus, a minimum magnetic field strength location which is spatially constant and dictates the levitation heights of cells. By using alternating current, the magnetic field can be changed in direction and intensity, as well as minimum field strength location. Alternating magnetic field in principle may add new capabilities such as changing levitation height of cells over the time.

[0068] Using this approach, red blood cells, leukocytes, platelets and circulating metastatic breast cancer cells, as well as red blood cells of different ages are separated. In addition, cellular processes such as neutrophil activation, phagocytosis, and responses of healthy and sickle red blood cells to dehydration are monitored in real-time. This technique provides a broadly applicable tool for high resolution, real-time cell biology research, as well as disease screening and diagnostics for point-of-care settings.

[0069] The core principle of the present magnetic levitation-based method relies on the equilibrium of two opposing forces: the corrected gravitational force and the magnetic force. What is presented is a powerful magnetic levitation-based microfluidic platform, which allows real-time, label-free, high resolution monitoring of cell populations, and is fully compatible with upright or inverted microscopes. This technology offers rapid separation of different cell populations based on their magnetic signatures and densities without the use of antibody-tagged magnetic beads, centrifugation or the use of a specialized, continuous or discontinuous density gradient media. The levitation platform enables unique monitoring functional responses of individual cells to a variety of stimuli, over time, and on a cell-by-cell basis. This approach allows us for the ex vivo investigation of the biological responses following specific, cell-cell and cell-molecule interactions in quasi-physiological, blood stream-like settings.

[0070] The underlying mechanisms for levitation of cells in a microcapillary can be understood as follows. Under an applied magnetic field, B, created by the two magnets placed in anti-Helmholtz configuration (same poles facing each other), magnetic force, F.sub.m, exerted on a cell is given in Equation 1. Corrected gravitational force, F.sub.g, acting on a cell is given in Equation 2

[00001]$\begin{array}{cc}{F}_m=\left(\frac{{\chi }_{cell}-{\chi }_m}{{\mu }_0}\right)V\left(B.Math.\nabla \right)B& \left(1\right)\\ F_g=\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)\mathrm{Vg}& \left(2\right)\end{array}$

[0071] Here, μ.sub.0=4π×10.sup.−7 (N.Math.A.sup.−2) is the magnetic permeability of free space, ρ.sub.m (kg.Math.m.sup.−3) is the density of the paramagnetic medium, χ.sub.m is the non-dimensional magnetic susceptibility of the paramagnetic medium, ρ.sub.cell (kg.Math.m.sup.−3) is the density of the cell, χ.sub.cell is the non-dimensional magnetic susceptibility of the suspended cell, V (m.sup.3) is the volume of the cell, and g is the vector of gravity. The cell is assumed to have a homogeneous distribution of density and magnetic susceptibility throughout its volume.

[0072] The magnetic force, F.sub.m, depends on the position of cell (as the magnetic field spatially changes within the microcapillary) and is directed towards the minimum of the magnetic field. The corrected gravitational force, F.sub.g, does not depend on the location of the cell inside the microcapillary. The Stoke's drag force, F.sub.d is given by equation 5 for a spherical particle of radius, R, and volume, V=4πR.sup.3/3.

[0073] In a transient case, for example before cell reaches equilibrium point where the magnetic force balances with the corrected gravity force, inertial forces, for example the term at the left in Equation 3, and drag force, F.sub.d, which depends on the migration velocity of cell, equation 5, will be active as described in equation 3. At equilibrium, the drag and inertial forces vanish, and the magnetic and gravitational forces acting on the cell will balance each other, as given in Equation 4.

[00002]$\begin{array}{cc}ma=F_m+F_g+F_d& \left(3\right)\\ F_g+F_m=\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)Vg+\left(\frac{{\chi }_{cell}-{\chi }_m}{{\mu }_0}\right)V\left(B.Math.\nabla \right)B=0& \left(4\right)\\ F_d=6\pi \eta Rv& \left(5\right)\\ F_g=\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)Vg=\left(\begin{array}{c}0\\ 0\\ -\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)Vg\end{array}\right)& \left(6\right)\\ F_m=\left(\frac{{\chi }_{\mathrm{cell}}-{\chi }_m}{{\mu }_0}\right)V\left(B.Math.\nabla \right)B=\left(\begin{array}{c}\left(\frac{{\chi }_{cell}-{\chi }_m}{{\mu }_0}\right)V\left(B_x\frac{\partial B_x}{\partial x}+B_y\frac{\partial B_x}{\partial y}+B_z\frac{\partial B_x}{\partial z}\right)\\ \left(\frac{{\chi }_{cell}-{\chi }_m}{{\mu }_0}\right)V\left(B_x\frac{\partial B_y}{\partial x}+B_y\frac{\partial B_y}{\partial y}+B_z\frac{\partial B_y}{\partial z}\right)\\ \left(\frac{{\chi }_{cell}-{\chi }_m}{{\mu }_0}\right)V\left(B_x\frac{\partial B_z}{\partial x}+B_y\frac{\partial B_z}{\partial y}+B_z\frac{\partial B_z}{\partial z}\right)\end{array}\right)& \left(7\right)\end{array}$

[0074] Here, v is the velocity of the particle (m/s) and η is the dynamic viscosity of the suspending medium (kg/ms). In the z-axis, where the corrected gravitational force is aligned, the balance of forces can be written as,

[00003]$\begin{array}{cc}\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)Vg+\left(\frac{{\chi }_{\mathrm{cell}}-{\chi }_m}{{\mu }_0}\right)V\left(B_{\chi }\frac{\partial B_Z}{\partial x}+B_y\frac{\partial B_Z}{\partial y}+B_Z\frac{\partial B_Z}{\partial z}\right)=0& \left(8\right)\end{array}$

[0075] Here, it is assumed that the absolute value of the third term

[00004]$\left(B_z\frac{\partial B_z}{\partial z}\right)$

in Equation 8 is larger than the absolute value of the sum of the first and second terms

[00005]$\left(B_x\frac{\partial B_z}{\partial x}+B_y\frac{\partial B_z}{\partial y}\right),$

and a linear change of B.sub.z with respect to z-axis, therefore

[00006]$\begin{array}{cc}{B}_Z\frac{\partial B_Z}{\partial z}⪢\left(B_x\frac{\partial B_Z}{\partial x}+B_y\frac{\partial B_Z}{\partial y}\right)& \left(9\right)\\ B\equiv \left(\begin{array}{c}{B}_x\\ B_y\\ B_z\end{array}\right)=\left(\begin{array}{c}0\\ 0\\ -\frac{2B_0}{d}z+B_0\end{array}\right)& \left(10\right)\end{array}$

[0076] Equation 8 can be solved after substituting B, given by Equation 10, into Equation 8 to find the equilibrium height, h, as seen in Equation 11. Equilibrium height, h, is the vertical distance where the magnetic force and the corrected gravitational force cancel each other. From equation 11, ρ.sub.cell can be extracted as well and written as a function of h, Equation 12a, with the coefficients α and β, Equation 12b&c.

[00007]$\begin{array}{cc}h=\frac{\left({\rho }_{\mathrm{cell}}-{\rho }_m\right)g{\mu }_0{d}^2}{\left({\chi }_{\mathrm{cell}}-{\chi }_m\right)4B_0^2}+\frac{d}{2}& \left(11\right)\\ {\rho }_{\mathrm{cell}}=\alpha h+\beta & \left(12a\right)\\ \alpha =\frac{4\left({\chi }_{\mathrm{cell}}-{\chi }_m\right)B_0^2}{g{\mu }_0{d}^2}& \left(12b\right)\\ \beta ={\rho }_m-\frac{2\left({\chi }_{\mathrm{cell}}-{\chi }_m\right)B_0^2}{g{\mu }_{0}d}& \left(12c\right)\end{array}$

Equilibrium height as a function of density difference between cell and the suspending liquid is plotted in FIG. 7.

[0077] The time to equilibrium can also be calculated. Here, it is defined that equilibrium time, t.sub.0, is the time that elapses while a cell moves from its initial location, z.sub.i (for example, the bottom of the microcapillary), to another position, z.sub.f (for example the levitation height), in the microcapillary. To find t.sub.0, here it can be assumed in Equation 3 that the cell has zero acceleration (a=0) and is moving with its terminal velocity, as described by Equation 13.

0=F.sub.m+F.sub.y+F.sub.d  (13)

The z component of equation 13 was found by substituting Equations 5, 8, and 10 into Equation 13, the substitution shown as Equation 14a. After integrating Equation 14a, the time that elapses while a cell reaches equilibrium was found as described by Equation 15. While the cell gets closer to the equilibrium point, the driving magnetic force becomes smaller and thus, the velocity of the cell becomes smaller, which in turn decreases the drag force. In the mathematical model, the cell never reaches equilibrium, therefore t.sub.0=∞ when the Equation 15 is solved for z.sub.f=h.

[00008]$\begin{array}{cc}\frac{dz}{dt}=\mathrm{\xi z}+\zeta & \left(14a\right)\\ \xi =\frac{8}{9}\frac{R_{\mathrm{eq}}^2{B}_0^2}{{\mu }_0{d}^2\eta }\left({\chi }_{cell}-{\chi }_m\right)& \left(14b\right)\\ \zeta =-\frac{2}{9}\frac{R_{\mathrm{eq}}^2}{\eta }\left(\left({\rho }_{cell}-{\rho }_m\right)g+\frac{2B_0^2}{{\mu }_{0}d}\left({\chi }_{cell}-{\chi }_m\right)\right)& \left(14c\right)\\ t_0=\frac{1}{\xi }\ln \left(\frac{\xi z_f+\zeta }{\xi z_i+\zeta }\right)& \left(15\right)\end{array}$

[0078] Equilibration times of new and mature red blood cells are plotted as a function of equilibrium height in FIG. 2h. In some experiments, the magnetic susceptibility of cell or the ambient paramagnetic fluid was altered by exposing it to UV and causing the formation of reactive oxygen species (ROS).

EXAMPLES

[0079] Below are examples of specific embodiments for carrying out the present invention. The examples are offered for illustrative purposes only, and are not intended to limit the scope of the present invention in any way.

[0080] Efforts have been made to ensure accuracy with respect to numbers used (e.g., amounts, temperatures, etc.), but some experimental error and deviation should, of course, be allowed for.

Example 1: Magnetic Levitation Approach and Underlying Mechanisms

[0081] Negative differences between the magnetic susceptibilities of suspending objects, χ.sub.0, (for example, a heterogeneous group of cells) and suspending medium (χ.sub.medium) create a magnetic force field causing objects to be confined at different heights depending on the balance between corrected gravitational forces and magnetic forces as depicted in FIG. 1a. Negative difference between the magnetic susceptibilities of an object (χ.sub.0) and suspending medium (χ.sub.medium) causes the object to move away from larger magnetic field strength site to lower magnetic field strength. Until an object, for example, a red blood cell (RBC) suspended in a paramagnetic medium reaches the equilibrium height, a set of forces, such as fluidic drag, inertial, gravitational, and magnetic forces, continuously act on the object. As the object approaches equilibrium, its velocity, and thus drag and inertial forces become progressively smaller, which can be seen in FIG. 1b.

[0082] In this setup and with additional forward reference to the device illustrated in FIGS. 6a and 6b, a microcapillary tube that is 50 mm long with a 1 mm×1 mm square cross-section is placed between two permanent N52 grade neodymium magnets (NdFeB, 50 mm length, 2 mm width, and 5 mm height) in an anti-Helmholtz configuration (same poles facing each other). These parts were assembled together using 1.5-mm-thick polymethyl methacrylate (PMMA) pieces that were cut with a laser system (VLS 2.30 Versa Laser). Before each separate measurement, the microcapillary channel was plasma treated for 2 minutes at 100 W, 0.5 Torr (IoN 3 Tepla) and then placed between the magnets. Two mirrors are placed at 45° (or other oblique angles) to image levitation heights using an inverted microscope (Zeiss Axio Observer Z1) under a 5× objective or 20× objective, to create a device compatible with conventional microscopy systems for high resolution spatiotemporal monitoring of cells during levitation, which is detailed in FIG. 1c. Due to the particular placement of the two magnets, with the symmetric magnetic field strength distribution with respect to each axis (FIG. 1d), the suspended cells levitate at a position that depends on both the location of minimum field strength and the ratios of the magnetic susceptibility and cellular density.

[0083] To test this setup, RBCs that have been isolated from a healthy donor are suspended in 40 mM gadolinium-based (Gd+) paramagnetic medium. The paramagnetic solution used for all experiments presented here is currently employed for MRI investigations in humans, is non-toxic, and compatible with human blood cells. Following 10 minutes of magnetic confinement, RBCs stably levitated at a height of approximately 300 μm from the bottom magnet, forming a small, wall-less, blood stream-like assembly as seen in FIG. 1e.

[0084] For higher resolution brightfield and fluorescence imaging of (20×, 40× and 60×), a mirror-free setup coupled to a fluorescence upright microscope leveled on its side is used.

Example 2: Cell Separation by Magnetic Levitation

[0085] Mass density distribution of human blood cells varies between 1.055 and 1.11 g/mL as illustrated FIG. 2a. Volumetric mass density, defined as mass per unit volume, is one of the most fundamental physical parameters that characterize a cell. Several cellular events such as differentiation, cell death (apoptosis/necrosis), malignancy, phagocytosis, and cell-age cause permanent or transient changes in cell volumetric mass density.

[0086] The cell-separation capability of the setup was assessed by magnetically confining isolated and fluorescently labeled RBCs, polymorphonuclear leukocytes (PMNs), and lymphocytes, as shown in FIG. 2b.

[0087] To isolate PMNs, 40 mL of blood was obtained by venipuncture from healthy adult volunteers in accordance with the guidelines of the Institutional Review Board (IRB) of Beth Israel Deaconess Medical Center, and after informed consent in accordance with the Declaration of Helsinki. The blood was drawn into a 60 mL syringe containing 14 mL 6% Dextran T500 and 6 mL citrate solution. After 1 hour to allow for separation, the buffy coat was obtained and layered on top of 15 ml of FICOLL® (a neutral, highly branched, high-mass, hydrophilic polysaccharide which dissolves readily in aqueous solutions, obtained from GE Healthcare) and centrifuged at 350×g for 15 minutes. The pellet, consisting of PMNs, eosinophils and contaminating RBCs, was resuspended in 25 ml of 0.2% NaCl for 45 seconds to lyse RBCs, followed by addition of an equal volume of 1.6% NaCl with continuous end-over-end mixing to balance the salt solution. The suspension was centrifuged at 350×g for 5 minutes, and the pelleted PMNs were washed and resuspended in 1 mL HBSS.sup.++.

[0088] Results show that cells suspended in 30 mM Gd+ solution form distinct density and cell specific confinement bands populated by RBCs, PMNs and lymphocytes alone.

[0089] The effect of magnetic strength of the suspension solution on the focusing height of RBCs was then investigated by progressively increasing the molarity of Gd+ solution used for RBC suspension as can be seen in FIG. 2c. It was found that an increase in the molarity of Gd+, and thus magnetic susceptibility of the suspension media, causes a gradual increase in the focusing height of cells.

[0090] RBCs are formed in bone marrow by hematopoietic stem cells (HSCs) and circulate for 100-120 days before they are recycled by tissue macrophages. Circulating RBCs continuously releases microparticles that progressively decrease their surface-to-volume ratio and increase their density.

[0091] To investigate if the sensitivity resolution of the setup was precise enough to separate young (1.09 g/mL) from old (1.11 g/mL) RBCs based on their different volumetric mass densities, a mixture of fluorescently labeled young and old RBCs, which were isolated by PERCOLL® gradient (PERCOLL® being colloidal silica particles which have been coated with polyvinylpyrrolidone), was levitated in 30 mM Gd+ solution.

[0092] To allow for fluorescent labeling, old and new RBCs were separated. RBCs (10% hematocrit) were collected either by venipuncture or fingerprick and washed 3 times in HBSS.sup.++. RBCs were layered on 13 mL of a solution containing 77% PERCOLL®, 10% 1.5 M NaCl, and 13% ddH.sub.2O, followed by centrifugation at 15000×g for 20 min, with the brake off. New RBCs at the uppermost layer were collected, washed to remove the PERCOLL® solution, and resuspended in 1 mL HBSS.sup.++. Similarly, old RBCs that separated to the bottom of the solution were collected, washed and resuspended in 1 mL HBSS.sup.++.

[0093] RBCs, which were initially in random distribution in the microcapillary, started to focus at different levitation heights when exposed to magnetic field (snapshots of the time lapse recording are shown in FIG. 2d). Fluorescently labeled young and old RBCs at their respective equilibrium levitation heights are shown in FIG. 2e.

[0094] Using a time-lapse recording of the levitation process, the specific equilibrium time function of focusing height of old and young RBCs was evaluated analytically as shown in FIG. 2f. Briefly, equilibrium heights were measured from the bottom magnet for young and old RBCs and were found to be 0.156 mm and 0.092 mm, respectively. Density differences between each cell and suspension liquid were calculated using FIG. 7, which was plotted using Equation 11. By substituting density differences into Equations 14 and 15, equilibrium times were plotted, which can be seen in FIG. 2f.

[0095] The capability of the setup to levitate gravitationally-sedimented cells was also tested. RBCs were loaded in the glass microcapillary tube, and then placed on the bench for 15 minutes until all cells passively (gravitationally) sedimented along the bottom of the microcapillary. The microcapillary tube was then loaded in the magnetic levitation setup. Due to their relative diamagnetic properties compared to suspension liquid, cells started to move away from the magnet and levitate toward their density-dependent equilibrium point, as shown in FIG. 2g. Finally, the location of cells during magnetic focusing as a function of time using time-lapse microscopy was quantified, as seen in FIG. 2h.

Example 3: Static Levitation of Functionally-Altered Blood Cells

[0096] PMNs are phagocytes, cells capable of sensing and responding to microorganism-specific danger signals followed by specific binding and internalization of foreign microorganisms or particles. Phagocytic events result in the formation of reactive oxygen species (ROS) and ROS-mediated activation of hydrolytic enzymes. Generation of ROS and reactive nitrogen species (RNS) will cause changes in the magnetic signature of phagocytes, whereas the dynamic interplay between the endocytic and exocytic processes during phagocytosis would directly impact the volumetric mass density of activated PMNs.

[0097] Freshly isolated PMNs were activated by incubating them either with buffer (resting PMN), GSH-ME (GSH-treated PMN), or 10 nM PMA (activated PMN) for 5 minutes, washing twice, mixing, and resuspending them in 35 mM Gd+ solution. Prior to treatments, cells were labeled either with Cell Tracker Green (activated PMN) or Cell Mask Deep Red (GSH-treated PMN).

[0098] The response of human PMNs during the activation phase of phagocytosis was studied by incubating PMNs with phorbol 12-myristate 13-acetate (PMA, 10 nM) for 10 minutes. As a control, PMNs were left in buffer for 10 minutes. Cells were then washed, fluorescently labeled, mixed together, and loaded into the magnetic levitation setup. Magnetic focusing revealed distinct differences between control and activated PMNs, both in terms of size, shape, optical density, as well as magnetic and mass density signatures, as shown in FIG. 3a.

[0099] Activated PMNs generate intracellular paramagnetic ROS that actively reduces the difference between the magnetic susceptibilities of the cells and suspending medium. As a consequence, activated PMNs would be expected to “sink” compared to buffer-treated ones. However, the results show that the decrease in density promoted by cell activation is more pronounced than the transient increase in magnetic properties and, as a result, the cells levitated to higher elevations than the control.

[0100] The morphological differences between activated and normal PMNs were evaluated by measuring the roundness of cells, defined as

[00009]$\frac{{\mathrm{perimeter}}^2}{\left(4.Math.\pi .Math.\mathrm{area}\right)}.$

The calculated roundness values, shown in FIG. 3c, indicate significant difference between PMA-activated and buffer-treated PMNs. The same samples were simultaneously examined by flow cytometry for changes in forward and side-scatter properties of PMNs associated with PMA activation, shown in FIG. 3d. When compared to flow cytometry, magnetic levitation allows direct visualization of cells, as well as increased shape and size-detection sensitivity and resolution, while simultaneously providing real-time density measurements on a cell-by-cell basis.

[0101] To further understand the effect of intracellular ROS on the final position of levitating cells, cell permeable glutathione (GSH), an ROS scavenger was used. Results, depicted in FIG. 3e, show that GSH-treated PMNs equilibrated closer to resting PMNs, whereas activated, low density PMNs were focused as expected, above these two groups.

[0102] To test the density resolution of the setup, a mixture of PMNs, lymphocytes, and platelets was levitated. High magnification imaging of the resting PMNs revealed that, while most of the cells were non-activated, a few, indicated by the arrow in FIG. 3f, show early signs of activation, through both shape changes and height positions, indicative of lower cell density. In addition, contaminating eosinophils were positioned at the bottom of the PMN column, consistent with their density being equal to or greater than that of the densest PMNs, as seen in FIG. 2a. Two hours after continuous levitation, as shown in FIG. 3g, PMNs underwent self-activation followed by integrin-mediated homo-typical aggregation.

[0103] Of note, some of the PMN clusters also displayed a lower position compared to non-activated PMNs, suggesting that intracellular, paramagnetic ROS species formed during activation also influenced the confinement height of the cells. Next, the density changes during human PMN phagocytosis were studied by incubating freshly isolated PMNs with fluorescently labeled Salmonella Montevideo. To allow for PMN phagocytosis, Cell Tracker Green-labeled PMNs (5×10.sup.5) were added to microfuge tubes containing 600 μL of HBSS/0.1% BSA. Serum-opsonized Alexa-594-labeled S. Montevideo (1×10.sup.6), was added to the PMNs at a 10:1 ratio, and the mixture was incubated for 10 min at 37° C. with end-over-end rotation at 8 rpm. PMNs were washed, mixed with Hoechst 33342-labeled resting PMNs and resuspended in 35 mM Gd+ solution. The Salmonella Montevideo (American Type Culture Collection) used was grown overnight in Bacto nutrient broth (Difco) and quantified (0.5 OD.sub.600=4.5×10.sup.8 cells/mL). Bacteria were gently pelleted, washed, and resuspended in HBSS.

[0104] A cell culture of this study can be seen in FIG. 3h. The results show that phagocytic PMNs have significantly decreased density although there was no clear relationship between the numbers of Salmonella ingested, originally shown as red in FIG. 3h (although now not readily apparent due to the grey-scale conversion of the image), and the confinement height of the PMNs.

Example 4: Functional Interrogation of Magnetically-Levitated Blood Cells

[0105] The magnetic levitation setup permits acquisition of high resolution images at various points in time followed by investigation of unique responses of individual cells in the population. This provides extensive morphological and functional mapping capabilities over time on a cell-by-cell basis for a given population.

[0106] The proposed platform allows for single cell manipulation by exposing a particular area of confined cells to a low intensity laser beam, which allows extensive spatiotemporal height adjustment of the targeted cell or cell group by transiently and locally altering the magnetic properties of the gadolinium solution, which is depicted in FIG. 4a.

[0107] One levitation setup was fabricated using 1.5-mm-thick polymethyl methacrylate (PMMA) (McMaster Carr). Setup components were cut to the dimensions given in FIG. 6b (VERSALASER™; Universal Laser Systems Inc.). In this experimental setup, a microcapillary tube (VITROTUBES™ Square Capillary Microcells, Borosilicate Glass 8100, Vitrocom, Mountain Glass, N.J.) with 1 mm×1 mm (outer edge, wall thickness 0.2 mm) square cross-section is placed between two permanent neodymium magnets (NdFeB) in an anti-Helmholtz configuration (same poles facing each other). Two gold-coated mirrors are placed at each open side of the microcapillary at 45 degrees to create a device compatible with conventional microscopy systems for high resolution spatiotemporal monitoring of cells during levitation. Microfluidic chips with easily accessible, inexpensive components and magnets have been designed and fabricated, allowing widespread use of this method by other researchers around the world.

[0108] In one experiment, following RBC confinement, a square area of 20×20 μm in the middle of stably levitated RBCs was illuminated with a 30 mW, 488 nm laser beam at 0.34% intensity continuously for 1 minute using a Vector Photomanipulation unit (3i). The targeting of the beam was kept on the same cell throughout the experiment.

[0109] In another experiment, a larger area (900×900 μm) of levitated RBCs, PMNs and lymphocytes was UV-irradiated. For the duration of irradiation, cells progressively increased their levitation heights due to increased magnetic properties of the suspension media. Immediately after UV stimulation was turned off, cells began to return to their original positions, although RBCs equilibrated at a lower height than original, indicating potentially that intracellular, UV-induced ROS increased the paramagnetic signature of RBCs. Cell cultures taken both when UV-irradiation was on and off are depicted in FIG. 4b.

[0110] Consistent with this possibility that UV-induced ROS increased the paramagnetic signature of RBCs, in areas with increased cell density, RBCs formed distinct aggregates, shown as the red circle in FIG. 4b, likely due to weak paramagnetic attraction between ROS-containing RBCs. To test this hypothesis, a burst of extracellular ATP to dissociate 2-3 DPG (2,3-diphosphoglycerate) from hemoglobin was used, a process that also transitions RBCs from diamagnetic to weak paramagnetic cells. Isolated RBCs were washed and resuspended in HBSS.sup.++ containing 40 mM Gd+ and 10 mM caged ATP (Life Technologies). RBCs were loaded into the capillary, placed between the magnets, and allowed to focus. Next, a region of 60×900 μm located about 70 μm above the levitating RBCs was selected and illuminated by a 488 nm laser beam for 1 second at 100% intensity. The un-caged ATP, released into the suspension increased the extracellular concentration of ATP from 0 to nearly 10 mM. Cells were recorded using Slidebook 5.5.

[0111] Following photolysis, caged-ATP became ATP, effectively increasing the concentration of biologically-active, extracellular ATP from 0 to close to 10 mM. The high concentration of extracellular ATP (10 mM) compared to intracellular (about 1-1.3 mM) promoted an abrupt increase in intracellular ATP, followed by dissociation of 2,3 DPG from hemoglobin, and changes in the magnetic properties of RBCs that led to paramagnetic-mediated cell clustering, represented by the circles in FIG. 4c, and loss of levitation. As RBCs approached the bottom magnet, represented by the arrows in FIG. 4c, the interaction between the paramagnetic RBCs and the magnet increased progressively, eventually overcoming the weak paramagnetic interactions between cluster-forming RBCs, and leading to a gradual dispersal of RBC clusters.

Example 5: Versatility of the Magnetic-Levitation Based Approach for Clinical POC Diagnosis

[0112] To demonstrate the wide applicability of this magnetic levitation-based approach over different cell types, circulating cancer cells, and sickled RBCs were used. Metastasis is a process responsible for spreading malignant cells from the primary site to another, non-adjacent site. When malignant cells break away from a tumor, they migrate to other areas of the body through the bloodstream or the lymph system, becoming circulating tumor cells (CTC).

[0113] The breast cancer cell line MDA-MB-231 being used was purchased from the American Type Culture Collection and cultured in DMEM supplemented with 10% FBS, 100 units/mL penicillin, and 100 μg/mL streptomycin and maintained at 37° C. under 5% CO.sub.2.

[0114] A heterogeneous group of cells by spiking normal blood with breast cancer cells (CTC) pre-stained with the cell permeable, DNA-specific dye Hoechst 33342 was prepared. The cell mixture was then magnetically focused for 15 minutes in a 20 mM Gd+ solution that allowed levitation only of PMNs and lymphocytes, but not that of RBCs. CTCs were readily identified, shown as the cells with blue nuclei in FIG. 5a, in the top row, from the multi-cell suspension being confined close to the center of the microcapillary tube, tens to hundreds of micrometers away from lymphocytes and PMNs respectively.

[0115] Additionally, it is shown that RBCs isolated from a healthy donor and a patient homozygous (SS) for sickle cell disease can be separated rapidly and specifically based on their individual responses to 10 mM sodium metabisulfite-induced dehydration, as can be seen in FIG. 5c.

[0116] RBCs isolated from healthy and sickle cell disease patients were washed three times and incubated with 10 μM sodium metabisulfite for 10 minutes at room temperature. Cells were levitated as described above and images were recorded after 10 minutes. To increase the contrast of the cells against the background, images were filtered using an edge detection algorithm (Roberts). This treatment renders a subpopulation of sickle RBCs, likely younger RBCs, significantly denser than healthy RBCs.

Example 6: Label Free Detection of Circulating Tumor Cells (CTCs) and Circulating Tumor Microemboli (CTM)

[0117] With reference to FIGS. 8-11, label free detection of circulating tumor cells (CTCs) and circulating tumor microemboli (CTM) are illustrated.

[0118] With reference being made to FIG. 8, CTCs and CTM of non small cell lung cancer (NSCLC) were identified using the magnetic levitation system, where these cancer cells were levitated higher than the blood cell population as illustrated in the left panel. In the right panel, a corresponding profile is illustrated which identifies the normalized cell number at particular distances (i.e., levitational heights). From the labeled peaks, it can be seen that the cancel cells and microemboli separate upwardly from the white blood cells, which remain in at a comparatively lower height.

[0119] Turning now to FIG. 9, CTCs were also monitored also in NSCLC patient blood sample with the magnetic levitation system. The dotted white circle indicates a CTC in the patient blood sample.

[0120] Looking at FIG. 10, the separation efficiency of breast cancer cells is illustrated. It is demonstrated that the cancer cells spiked in blood samples can be separated in high efficiency from blood cells. In FIG. 10a, a micrograph is provided in which fluorescently-labeled breast cancer cells (MDA) are spiked in blood and separated using the levitation system. The inset panel of FIG. 10a shows three large dots which are the labeled MDAs. FIG. 10b illustrates the separation efficiency of breast cancer cells spiked in blood cells at different concentrations. This data establishes that the levitation system can be easily applied for CTC and CTM quantification for cancer diagnostic and prognostic applications.

[0121] The device is also capable of identification of other cancer cells from blood cells. For instance, as illustrated in FIG. 11, peripheral blood mononuclear cells (PBMCs) of healthy and leukemia patients exhibit different cellular profiles upon separation (i.e., the height of the leukemia cells is higher than that height of the PBMCs).

Example 7: Real-Time Monitoring of Response of Cells to the Environmental Factors in a Single Cell Level

[0122] As illustrated in FIG. 12, real-time monitoring of the response of cells to the environmental factors can be performed at a single cell level. In particular, FIG. 12 illustrates the real-time density changes of single cells after application to hydrochloric acid (HCl).

[0123] FIG. 12a shows micrographs of control (untreated) and HCl-treated MDA breast cancer cells in which the control cells maintain their levitation height (i.e., density), but in which the HCl-applied cells sink to the bottom of the channel (i.e., z=−500 μm) over 40 minutes of exposure to 100 mM HCl.

[0124] FIG. 12b details the real-time observation of a HCl-applied single cell in which a viability assay was also conducted using Calcein (green fluorescent) for live cell and Propidium Iodine (red fluorescent) for dead cell. Fluorescent images and bright field images were overlapped each other to compose the micrographs at different time point. While the cell is sinking through the channel bottom and it is gaining density, the fluorescent profile on the cell is changing from green to red indicating a dying cell. This shows in real-time, over the span of 700 seconds, the death of the cell and the correlation of this cell death to a density change and levitational height change.

[0125] FIG. 12c shows real-time density measurement of acid-treated single cells in which it is illustrated that, even if the acid is applied to the cells at the same time, each of the cells behave differently due to cellular heterogeneity.

[0126] By way of this example, it is illustrated how the effect of environmental factors (e.g., pH, temperature, chemicals, and so forth) on cells can be monitored as cellular density changes. This can be used to analyze cellular heterogeneity, which is helpful for understanding cancer, immune response, infectious diseases, drug resistance and evolution.

Example 8: Real Time Monitoring for Drug-Screening Applications

[0127] The levitation system also permits real-time assessment of cellular profiles after drug treatment for drug-screening applications (i.e., antibiotics, chemotherapy) as illustrated generally in FIGS. 13-15. Changes in the cellular profile during infections as well as during drug treatment (i.e., antibiotics, anti-fungal drugs, anti-cancer agents) can be observed rapidly using the magnetic levitation system.

[0128] As illustrated in FIG. 13 (and, in particular, the lower right panel of FIG. 13), the magnetic levitation-mediated platform was used to detect significant differences between untreated and ampicillin-treated bacteria (i.e., E. coli) cells, in terms of magnetic levitation heights. As the bacteria respond to the stimuli and antibiotics, their density are altered. This directly reflects on their levitation heights.

[0129] Similar techniques can be used in real-time to monitor the emergence of antibiotic-resistance in bacteria. Antibiotic resistance can be assessed by monitoring the live/dead bacteria as a function of their levitation heights that change in observed cellular density which are dynamically altered post-exposure to antibiotics.

[0130] Looking at FIG. 14, the magnetic levitation and characteristics of yeast cells are illustrated that have either not been exposed or have been exposed to various drug treatments for some duration of time. FIG. 14a graphs the viability of yeast cells after different drug treatments (i.e., no drug treatment/control, 100 μM cantharidin, or 100 μM fluconazole) for 24 hours. Different viabilities are observed and optical densities are indicated for the various drug treatments. FIG. 14b provides micrographs illustrating how, after 15 minutes of magnetic levitation, the levitation heights, magnetic properties and intrinsic magnetic signatures of yeast cells are altered after drug treatment with 100 μM cantharidin and 100 μM fluconazole for 24 hours.

[0131] Turning now to FIG. 15, this figure provides data relating to the observed drug responses and observed changes in magnetic profile of cells. FIG. 15a shows optical density (OD) profiles after various types of drug exposure (i.e., control, 25 μM fluconazole, 50 μM fluconazole or 100 μM fluconazole). FIG. 15b shows cellular distribution inside the channel and FIG. 15c shows calculated single-cell densities. FIG. 15d provides various micrographs of cells treated with different concentration of drug (fluconazole), the treatment concentration being listed above each micrograph. It is observed that cellular magnetic profiles and densities change after treatment with different drug concentrations (both in height and spread, which are indicative of health and variance in heath of cells, respectively). It is further noted that these changes can be monitored with the magnetic levitation system at the single-cell level.

[0132] With forward reference to FIG. 21, differences are illustrated in the observed magnetic levitation profiles of E. coli cells after different types of antibiotic treatment. The E. coli cells were treated for two hours with different classes of antibiotics including 1 mg/mL of ampicillin (beta-lactam antibiotic), ciprofloxacin (fluoroquinolone antibiotic), and gentamicin (aminoglycoside antibiotic). The magnetic levitation profile of each of these antibiotics are compared to a control (i.e., untreated E. coli cells) in FIGS. 21a, 21b, and 21c, respectively. This data illustrates that different antibiotic treatments change the levitation heights and cellular magnetic profiles in a different manner.

[0133] With additional forward reference to FIG. 22, differences are illustrated in the observed magnetic levitation profiles of multi-drug resistant E. coli cells after different types of antibiotic treatment. In these experiments, the effects of different antibiotics (ampicillin, ciprofloxacin, and gentamicin, respectively) on multi-drug resistant E. coli were investigated using the magnetic levitation system. This clinical isolate is resistant to ampicillin and ciprofloxacin, but is susceptible to gentamicin. Accordingly, there was no significant change in levitation heights and magnetic levitation profiles after two hours treatment with 1 mg/mL ampicillin and ciprofloxacin as illustrated in FIGS. 22a and 22b, respectively. On the other hand, there was a noticeable change in the levitation heights and magnetic levitation profiles after treatment with 1 mg/mL gentamicin for two hours as is illustrated in FIG. 22c.

[0134] Thus, the magnetic levitation system has the potential to test the efficacy of antibacterial treatments and the magnetic levitation system can be used for antibacterial susceptibility testing applications.

Example 9: Real-Time Monitoring of Emergence of Drug-Resistance in Cancer Cells

[0135] These same type of techniques can be used to, in real-time, monitor the emergence of drug-resistance in cancer cells: Drug resistance in cancer cells can be assessed by monitoring the levitation heights that change in their cellular profiles observed during magnetic levitation that are dynamically altered post-exposure to anti-cancer agents. It is contemplated that the efficacy of drug treatment can be also investigated using these real time methods.

Example 10: Real-Time Detection of Cellular Heterogeneity at the Single-Cell Level

[0136] Notably, this technology enables the real-time detection of cellular heterogeneity at the single-cell level as illustrated in FIG. 12 and establishes that different cells may respond differently as the result of many cellular factors.

[0137] Likewise, this means that the heterogeneity of drug responses of different cells can be monitored in real-time at single-cell resolution. For example, real-time density measurement of acid-treated single cells were conducted and variance in the response of the cells was observed given the single cell resolution. Even though the acid was applied to the cells at the same time, each cells behaved differently due to the cellular heterogeneity as is acutely illustrated in FIG. 12c.

[0138] Accordingly, using this real-time levitation system, it is contemplated that certain groups of cells may be first characterized and then treated. This variance in cell behavior across a population of cells may be intrinsic, but the ability to monitor the cells at a single cell resolution, in response to the variance of environmental factors or in response to variable treatment conditions, provides a complex and sophisticated way to study the way that a population cells respond which could be invaluable to a better understanding the underlying mechanisms, behaviors, and responses in these systems and provides a powerful assaying tool.

Example 11: Detection and Separation of Live and Dead Cells

[0139] Further to the experimental results observed in FIGS. 12 and 13, live and dead cells can be separated using this platform. This potentially permits for both detection and characterization of cell populations or potentially the separation of the live and dead cell populations from one another. Such detection and sorting might be incorporated into testing protocols or to selectively obtain certain varieties of cell samples.

Example 12: Profile of Cell Cycle and of Cellular Senescence and Aging

[0140] The system or platform also can be used as a tool to observe cell cycles and may be used to characterize certain types of cells based on their observed behavior.

[0141] As illustrated in FIG. 16, budding yeast cells have different densities during different phases of cell cycle. In addition, this platform has demonstrated that observed profiles of the cells (i.e., yeast cells) change during the cell cycle. For example, as illustrated in FIG. 16, yeast cells at M-phase had a greater levitation height than the cells at S-phase.

[0142] Further observed profiles are provided in FIG. 17 illustrating cellular senescence and aging in yeast. As yeast cells age, many physical and biological changes occur. For example, cell size increases, cell cycle slows down, cell shape is altered, cell nucleolus tends to be larger and/or more fragmented, and cells become sterile. The provided micrographs of old yeasts and young yeasts (left and center panels, respectively) illustrate that younger and older yeast populations are different profiles. These profiles can be further characterized as in the rightmost panel in which the normalized cell number is provided at various the levitation heights (i.e., distances). Thus, two very different profiles can be generated and compared as in the rightmost panel to illustrate the health of a particular cell group and, furthermore, due to the real-time nature of the data collection, can be used to create sequenced profiles characterizing the aging of the observed cell population.

Example 13: Microorganism and Pathogen Identification

[0143] As illustrated in FIG. 18, this platform and system can also be used to identify microorganisms and pathogens. Individual microorganisms (i.e., bacterial yeast, fungi, virus) can be identified and separated from a mixed culture at low concentrations according to their magnetic signatures using the magnetic levitation-based platform. For example, yeast and bacteria cells have different characteristic magnetic distributions or profiles. As illustrated in FIG. 18, with the system in used, the middle of the channel includes primarily bacteria cells, while the bottom of the channel includes primarily yeast cells.

Example 14: Distinguishing Gram-Positive and Gram-Negative Bacterial Species Using Magnetic Profiles

[0144] It is further contemplated that gram-positive and gram-negative bacterial species can be distinguished using magnetic profiles and cellular distributions. Gram-positive and gram-negative bacteria have different surface properties. For example, gram-positive bacteria cell wall consists of a thick layer of peptidoglycan (20-80 nm) and teichoic acids. Gram-negative bacteria cell wall is much more complicated, composed of an outer membrane (7-8 nm) and a thin layer of peptidoglycan (1-3 nm). In addition, gram-negative bacteria have a higher lipid and lipoprotein content due to the presence of an outer membrane as well as the lipopolysaccharides (LPS). Thus, gram-negative and gram-positive bacteria have different densities due to the different compositions of cell walls and these differences can be detected and monitored in real-time using magnetic levitation principles.

Example 15: Viral Infection Detection on Cells

[0145] With reference to FIG. 19, micrographs and corresponding magnetic profiles are provided of healthy and hepatitis C virus (HCV) infected hepatocytes. Infected cells are clearly distinguished from healthy cells by density and magnetic profiles. This data clearly shows that the magnetic separation profile of hepatocytes cells change significantly when they are infected with hepatitis C virus (HCV) as illustrated in the lowermost panel.

Example 16: Early Diabetes Detection

[0146] Finally, other types of cellular changes can also be observed using the platform. In FIG. 20, magnetic profiles of red blood cells of non-diabetic and diabetic mice (type I diabetes). Blood cells type I diabetes mice show different cellular density profiles than the blood cells from the healthy cells. Accordingly, this device offers a new way for early diagnosis of diabetes by monitoring changes in levitation heights.

[0147] In the examples above, the following antibodies and reagents were utilized: Hoecsht 33342 (H1399, Molecular Probes, Eugene, Oreg.); Hank's Balanced Salt Solution (14025-092), Cell Mask Deep Red plasma membrane stain (C10046), Cell Tracker Green, CMFDA (C-7025), NPE-caged ATP (A-1048, Life Technologies, Grand Island, N.Y.); FICOLL® (17-5442-03), PERCOLL® (17-0891-01, GE Healthcare, Pittsburgh, Pa.); citrate 4% w/v (S5770), Dextran T500 (31392), Glutathione reduced ethyl ester (GSH-ME, G1404), Sodium metabisulfite (S9000), Sodium Chloride (S5886, Sigma, St. Louis, Mich.); Phorbol 12-myristate 13-acetate (PMA, 1201, Tocris, Bristol, United Kingdom); VITROTUBES™ Square Capillary Microcells, Borosilicate Glass (8100, Vitrocom, Mountain Glass, N.J.); Gadolinium-based (Gd+) paramagnetic medium PROHANCE® (Bracco Diagnostics, Princeton, N.J.); CRITOSEAL™ (a capillary tube sealant including vinyl plastic from Fisher Scientific, Pittsburgh, Pa.).

[0148] In the examples above, to load samples into a microcapillary tube, microcapillaries were simply dipped into the sample vials, and sample filled into the capillary due to capillary forces. For each experiment, new microcapillary was used. Further, unless otherwise stated, cells were resuspended in 200 μL of 40 mM Gadolinium solution and loaded in 1.0×1.0 mm square microcapillary tubes (wall thickness 0.2 mm) by superficial tension action. Critoseal™ was inserted into either end of the microcapillary to prevent cells from drifting during analysis. The capillary was then loaded into a slot between the magnets and cells were imaged using either QImaging Emc.sup.2 EMCCD camera on an Olympus BX62 microscope or a Qimaging EXi CCD camera on a Zeiss Axioscope microscope. For high-resolution images, a fluorescence microscope leveled on its side was perfectly horizontally placed, and used a mirror-free magnetic levitation setup. The images were analyzed with Slidebook 5.5. (3i, Denver, Colo.), ImageProPlus 7 (Media Cybernetics, Rockville, Md.), and iVison 4.7 (Biovision, Exton Pa.).

[0149] By virtue of these examples, the versatility of the microfluidic, magnetic levitation platform that allows separation and activation of cells, as well as monitoring and quantifying of various morphological attributes, specific cellular activities and agonist responses in real-time has been demonstrated. The strategy presented here allows examination of temporal responses of cells to bioactive mediators introduced by caged compounds (such as, for example, ATP). The advantages of the system include, but are not limited to (i) simple workflow, (ii) lack of sophisticated micro/nano-fabrication components, (iii) disposable designs with the possibility for autoclaveable reusable modules, and (iv) multi-dimensional, real-time quasi-physiological investigation of dynamic cell:cell communications such as antigen-presenting cell:T cell and platelet:monocyte interactions.

[0150] The magnetic levitation device offers numerous biotechnology applications as well as a platform to study and monitor several fundamental cellular behavior. It provides unique capabilities for cell biology research where cell densities matter, and can reflect various processes such as cell-cycle, phagocytosis, apoptosis, and differentiation. This system is also sensitive to magnetic susceptibilities of cells, and can thus be used for analysis of hemoglobin degradation within the RBCs (for example, stored blood and sickle cells). The capability of monitoring several cellular activities can be also significant for drug discovery, toxicity testing, and single cell testing. Real-time monitoring of levitating cells, followed by protein and nucleic acid analyses, will potentially open avenues for research in unique signaling mechanisms present only during low gravity conditions.

[0151] This platform allows for measurements of cell densities (for example, RBCs, white cells) and separation of cells based on the balance between corrected gravitational force and counter-acting magnetic force. Simplicity, small size-scale and flexibility of the design make the system also compatible with mobile devices for telemedicine and use in resource poor settings for screening and diagnostics of malaria-infected red blood cells and sickle cells. This strategy does not require antibodies, advanced microscopy instrumentations or techniques for reliable diagnosis, nor the presence of microscopy specialists. This strategy holds great promise for identification, isolation and in-depth omics data analyses of subpopulation of cells in a variety of normal and pathological conditions.

[0152] The present invention has been described in terms of one or more preferred embodiments, and it should be appreciated that many equivalents, alternatives, variations, and modifications, aside from those expressly stated, are possible and within the scope of the invention.