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Home » Resources » Expertise » Expert Reviews: Basics of Microfluidics » Microfluidic Cell Biology » Fluid Shear Stress in Cell Biology: Why and How to Control It

Fluid Shear Stress in Cell Biology: Why and How to Control It

Shear stress in cell biology plays a dual role. On one hand, it should be minimized during the in vitro handling of cells and organoids to prevent cell damage. In vivo, many cells, including endothelial cells from blood vessels and epithelial cells in kidney, intestine, liver, are constantly exposed to shear conditions from blood flow, which is essential for healthy cellular organization and gene expression. Therefore, carefully quantifying and reproducing the shear stress is important for in vitro assays and organ modeling experiments.

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What is fluid shear stress?

Fluid shear stress is the tangential force per unit area that a flowing liquid exerts on a surface. In cell culture, it is the drag that moving medium applies to cells attached to the wall of a channel, and it is expressed in pascals (Pa) or, in much of the biology literature, in dyn/cm². 

On this page, shear stress means the stress that liquid flow exerts on cells at microfluidic scale, in chips, tubing and culture channels perfused at nanolitres to millilitres per minute. Fluid shear stress depends on fluid velocity and viscosity.

Shear stress in a laminar microfluidic flow 

In a microfluidic channel with laminar flow, the velocity profile is parabolic: velocity is maximal at the center and minimal at the channel walls. The resulting shear stress is highest at the walls and lowest at the center of the channel (Figure 1).

laminar flow inside a circular channel
Figure 1 Representation of the flow velocity profile left and shear rate distribution right of a laminar flow inside a circular channel

The fluid shear stress formula, in plain terms

τ = η * (∂v/∂z)

where η is the viscosity (g/cm*s = Poise), ∂v/∂z is the velocity gradient or shear rate (s).

In a microfluidic channel with laminar flow, the velocity profile is parabolic. The maximum velocity at the center and the minimum at the channel walls. Resulting shear stress is highest at the walls and lowest at the center of the channel. (figure 1).

Use our Shear Stress Calculator to determine your experimental parameters. Define the flow rate or the pressure to be applied in your system, the dimension of microfluidic chip and tubing length to apply the correct controlled shear stress for your cell culture under flow conditions.

What each term means 

  • τ (tau) is the shear stress, in Pa or dyn/cm². 
  • η (eta) is the dynamic viscosity of the medium, or how much it resists flowing, in g/(cm·s), i.e. poise (1 P = 0.1 Pa·s). 
  • ∂v/∂z is the velocity gradient, or shear rate: how quickly the liquid’s velocity changes as you move away from the wall, in s⁻¹. 

Why wall shear stress matters for adherent cells 

Two practical points follow from the formula. First, the same flow produces more stress in a more viscous medium, so the composition and temperature of the culture medium change the stress your cells receive. Second, because the velocity gradient is steepest at the wall, the wall shear stress is the value that matters for adherent cells growing on the channel floor. 

The shear rate itself is set by the flow rate and the channel geometry. For a given medium and chip, flow rate is therefore the experimental variable you adjust, and the one you need to hold constant over the whole study. 

Calculating a wall shear stress by hand for a real channel and tubing is tedious, which is why the computation sits in a dedicated tool (Figure 2). Use our shear stress calculator to determine your experimental parameters: define the flow rate or the pressure to be applied in your system, the dimension of microfluidic chip and tubing length to apply the correct controlled shear stress for your cell culture under flow conditions.

fluigent shear stress calculator
fluigent shear stress calculator

Figure 2. The shear stress calculator: a target wall shear stress of 1.37 dyn/cm² in a Be-Flow chip (left) returns the flow rate to apply, together with pressure, Reynolds number and velocity (right). The corresponding flow rate is given in Table 2.

What shear stress does to cells

In common in vitro experiments, cells are cultured on petri dishes with no media flow. This is an incomplete model that does not completely capture the cellular behavior. In living organisms, cells are continuously exposed to shear stress from fluid movement. Incorporating shear stress into in vitro systems is essential for several reasons:

How cells respond to flow

  • Mechanical Stimulation: Fluid flow produces a mechanical stimulus that promotes cell elongation to the direction of the flow, especially in endothelial and other adherent cell cultures (Figure 3) [1].
flow induced shear stress

Figure 3. Cell morphology and organization changes under shear stress.

  • Endothelial Cell Response: Endothelial cells are particularly responsive to shear stress, undergoing cytoskeletal remodeling [2]. This response helps maintain vascular homeostasis and influences processes such as angiogenesis and vessel remodeling [3].
  • Cancer Cell Dynamics: In cancer research, shear stress is known to contribute to the metastatic cascade processes, such as extravasation and interstitial migration. The average intravascular speed of tumor cells under luminal flow has been observed to increase to ~ 12.5 μm/h, as compared to ~ 9.4 μm/h under static conditions [4].
  • Improve Physiological Relevance and Precision: HUVECs cultured under laminar flow, compared to those under orbital flow, exhibit more physiologically relevant tissue factor expression [5].
  • Tissue-Specific Shear Stress: Different tissues experience distinct physiological shear stress levels, which is important to consider when designing and modeling in vitro experiments.

Physiological shear stress values by tissue

Table 1. Physiological fluid shear stress values by tissue and cell type, in Pa and dyn/cm², with their published sources.

Cell typesShear stress value (Pa)Shear stress value (dyn/cm2)
Arteries [6]1-210-20
Veins [6]0.1 -0.61-6
Mouse embryonic kidney [7]0.04 – 0.50.4 – 5
Human kidney [8]0.03 -0.120.3 -1.2
Alveolar epithelial cells [9]0.4 -1.54 -15
*for more values download the full expert review
More data in the complete article

How to control shear stress in microfluidic cell culture

With the development of microfluidics, enabling precise control of flow rates and microchannel geometries, researchers are able to fine-tune the shear stress applied to cells. Early research demonstrated that specific levels of shear stress can influence endothelial cell structure and function [10].

Over the past 20 years, advancements in microfluidics have deepened our understanding of these effects. More recently, the development of organ-on-a-chip models, where functional tissues are cultured within microfluidic chips, has shown that controlled mechanical stimulation is crucial for regulating cell behavior and modulating responses to infectious agents and medicines [11].

The same review stresses that the biomechanical stimuli cells receive are tissue specific and may change with disease or injury. They can amplify, annul or even reverse the cellular response to a biochemical cue or a drug candidate [11]. For drug testing and disease models, an uncontrolled shear stress is therefore not just noise in the data: it can change the result of the study.

What sets fluid shear stress in a microfluidic chip

Key variables for controlling shear stress include:

  • Precise Flow Rate Control: Maintaining a stable and reproducible flow rate over long periods ensures consistent shear stress exposure.
  • Microchannel Geometry: The shape, width, and height of microchannels directly influence shear stress distribution across the cells.
  • Fluid Viscosity: The viscosity of the culture medium affects shear stress. Variations in BSA content, chemical additives and temperature can affect the media viscosity.
  • Pulsatile vs. Steady Flow: Mimicking physiological conditions requires dynamic flow patterns (e.g., pulsatile or oscillatory flow).
  • Cell Seeding Density and Adhesion: The confluence and attachment of cells impact their response to shear stress; optimizing seeding conditions ensures uniform exposure.
  • Substrate Stiffness and Elasticity: The mechanical properties of the microfluidic chip substrate influence how cells perceive shear forces.

Once the chip and medium are chosen, geometry and viscosity are fixed, and controlling shear stress comes down to holding one quantity: the flow rate. The four steps below take you from a target value to a stable, verified shear stress on your cells (Figure 4).

4 step workflow validate shear stress

Figure 4. The four-step workflow, from the physiological values of Table 1 to a verified flow rate on the cells.

Step 1: Pick the target value

Start from the tissue you are modelling. Table 1 gives published physiological ranges: 1-2 Pa (10-20 dyn/cm²) for arterial endothelium and 0.1-0.6 Pa (1-6 dyn/cm²) for veins [6], with lower values for kidney cells than for arteries [7, 8]. Many protocols do not apply the full value on day one. They reach it in steps once the monolayer has formed.

Step 2: Convert it to a flow rate

Enter the target, your channel dimensions, your tubing and your culture medium into the calculator shown in Figure 2. It returns the flow rate, or the pressure, that produces that wall shear stress in your setup, along with the mean velocity and the Reynolds number of the flow.

Step 3: Hold the flow rate

A shear stress is only as stable as the flow that creates it. Pressure-based control delivers flow without the pulsation of mechanical pumping. Flow EZ modules cover pressures from -800 mbar to 7 bar, with a stability of 0.1% of the measured value. They support reservoirs from 2 mL to 1 L bottles, so they can sustain continuous, pulseless flow for days without refilling [12].

flow ez microfluidic flow and pressure controller

Microfluidic flow controller

Read more

Paired with a FLOW UNIT sensor, the Flow EZ controls flow rate directly: you set the rate on the instrument, and the applied pressure adjusts automatically to hold it even as resistance in the circuit changes (Figure 6) [12]. Its response time, down to 30 ms, makes stop-flow and flow rate steps quick to execute, and up to 8 independent modules can be combined to run several channels at different shear levels [12]. With OxyGEN software, time-based protocols such as a progressive ramp of shear stress can be programmed and the data recorded [12].

For several chips in parallel, automated media exchange and unattended long-term culture, the Omi automated platform runs the same principle across a full organ-on-chip workflow. For dynamic profiles, our review of passive and active mechanical stimulation covers how laminar and pulsatile shear stress are generated and applied.

Figure 6. Pressure-based flow control loop: the Flow EZ pressurizes the reservoir, and the FLOW UNIT measures the flow delivered to the chip and feeds it back to the controller.

Step 4: Verify what the cells receive

Measure the delivered flow rather than assuming it. The FLOW UNIT is a bidirectional thermal flow sensor with no moving parts and complete media isolation. Placed inline, it measures the actual flow rate throughout the experiment, and with Fluigent software those data can be recorded and exported, giving you a traceable record of the shear stress applied [12].

Cell morphology is the biological check: alignment and elongation in the flow direction indicate that endothelial cells are sensing the flow [1]. Compare against a static control cultured in the same chip, so that any change in the results can be attributed to flow rather than to the device.

Worked example: endothelial cells under shear

Endothelial cells line the interior surface of blood vessels, and shear stress influences their alignment, gene expression and production of nitric oxide. Appropriate shear stress promotes healthy endothelial function, whereas abnormal shear patterns are linked to vascular diseases [13]. HUVECs, the most widely used endothelial model, also form the vascular compartment of kidney-on-chip, blood-brain barrier and lung-on-chip models [13].

In our study of endothelial culture under shear, HUVECs seeded in a fibronectin-coated Be-Flow chip were connected to Omi once a stable monolayer had formed. They were cultured at 37 °C and 5% CO₂, with medium exchanges on days 0, 3, 5 and 7, and the automated sampling and loading steps refreshed the medium over the weekend [13]. Table 2 gives the flow rates applied and the equivalent shear stress, calculated with Fluigent calculators.

Table 2. Flow rates set on Omi and the equivalent shear stress in the Be-Flow chip, calculated with Fluigent calculators [13].

Flow rate (µL/min)Shear stress (dyn/cm²)
500.23
1000.46
2000.91
3001.37
4001.82
5002.28

Over at least seven days, the cells maintained healthy morphology, viability and monolayer integrity, proliferated and aligned with the flow. Under static conditions and at low flow rates such as 10 µL/min, colonization of the chip’s top channel layer was minimal. At 300 µL/min (1.37 dyn/cm²), top-layer colonization was first observed on day 3 and reached confluence by day 7 (Figure 7) [13].

The upper part of this range overlaps the venous values of Table 1 (1-6 dyn/cm²), which is consistent with the venous origin of HUVECs.

an image showing before after 7 days of culture

Figure 7. HUVECs on the bottom and top layers of a Be-Flow channel at day 3 and day 7 under controlled shear stress [13].

Worked example: a gut-on-chip at low shear

Fluid flow and shear stress have been reported to promote intestinal cell differentiation, the formation of villus-like 3D structures and enhanced intestinal barrier function [14]. The same four-step method applies at the low end of the range. In our gut-on-chip shear study, Caco-2 cells were seeded in a collagen-coated Be-Flow channel, and the fluidic setup combined a pressure source, a regulator, a Flow EZ (1000 mbar) and a FLOW UNIT S [14].

The cells were perfused at 5.8 µL/min (0.02 dyn/cm²) for 4 days to promote villi formation. Compared with static conditions, the cells under dynamic flow reached a higher density and began forming 3D structures, a feature not observed in static culture [14].

Practical precautions for long shear experiments

A shear study that runs for days fails more often on practical details than on the flow controller. The protocols of both application notes share a few precautions [13, 14]:

  • Limit air bubbles: pre-warm the chip in the incubator overnight before seeding, and prime the tubing with culture medium until no air bubbles remain before connecting the chip [14].
  • Keep the circuit sterile: assemble it under a biosafety cabinet, and sterilize the flow sensor with 70% ethanol for at least 15 minutes, followed by sterile water, because the sensor cannot be autoclaved [14].
  • Never let the channels dry: channels and inlet and outlet wells should never be depleted of culture medium, and the system should be checked for leaks once perfusion starts [14].
  • Plan medium exchanges: automated sampling and loading steps allow unattended medium refreshing over weekends or holidays without stopping the flow [13].

Long-duration shear studies

Longer experiments raise a practical question of medium volume. Recirculation returns the medium to the inlet, so a shear stress can be maintained for days without large reservoirs. For the wider context of flow in culture, see our overview of perfusion practice, and the cell biology hub for related reviews.

omi organ models development
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Frequently Asked Questions

What is a normal shear stress value for cells? + −

There is no single normal shear stress value: it depends on the tissue the cells come from. Published physiological ranges are 1-2 Pa (10-20 dyn/cm²) in arteries and 0.1-0.6 Pa (1-6 dyn/cm²) in veins [6]. Other tissues have their own ranges: 0.03-0.12 Pa (0.3-1.2 dyn/cm²) for human kidney cells [8] and 0.4-1.5 Pa (4-15 dyn/cm²) for alveolar epithelial cells [9]. Table 1 above lists these values with their sources. For in vitro work, choose the range of the tissue you are modelling, then convert it to a flow rate for your channel.

What units is shear stress measured in? + −

Shear stress is measured in pascals (Pa), the SI unit equal to one newton per square metre, or in dynes per square centimetre (dyn/cm²), the CGS unit still common in cell biology papers. The conversion is 1 Pa = 10 dyn/cm², so 1 dyn/cm² = 0.1 Pa. An arterial value of 1.5 Pa is therefore 15 dyn/cm². Table 1 gives every value in both units so you can read either convention directly.

Related Resources

  • Expert Reviews: Basics of Microfluidics Gut-on-a-Chip: Intestinal Models, Shear Stress and Applications Read more
  • Expert Reviews: Basics of Microfluidics What Is Organ-on-a-Chip? A Complete Guide Read more
  • Microfluidics Case Studies Biomechanics of Perfused Kidney-on-Chip Model: Effects of Shear Stress and Pressure  Read more
  • Expert Reviews: Basics of Microfluidics 5 Key Tips for Starting Organ-on-Chip Models Read more
  • Interviews & Testimonials Panel Discussion & Interviews – Microfluidics & Organ-On-Chips Read more
  • Microfluidics White Papers A review of Organ on Chip Technology – A White Paper Read more
  • Expert Reviews: Basics of Microfluidics How to choose a microfluidic chip Read more
  • Expert Reviews: Basics of Microfluidics Passive and active mechanical stimulation in microfluidic systems  Read more
  • Expert Reviews: Basics of Microfluidics Mimicking in-vivo environments: biochemical and biomechanical stimulation  Read more
  • Expert Reviews: Basics of Microfluidics Flow Control Technologies: Comparison between peristaltic, syringe and pressure pumps for microfluidic applications  Read more

References

Helmke, B. P., Rosen, A. B., & Davies, P. F. (2003). Mapping mechanical strain of an endogenous cytoskeletal network in living endothelial cells. Biophysical Journal. https://doi.org/10.1016/S0006-3495(03)75074-7

[2]     Malek, A. M., & Izumo, S. (1996). Mechanism of endothelial cell shape change and cytoskeletal remodeling in response to fluid shear stress. Journal of Cell Science. https://doi.org/10.1242/jcs.109.4.713

[3]     Campinho, P., Vilfan, A., & Vermot, J. (2020). Blood flow forces in shaping the vascular system: A focus on endothelial cell behavior. Frontiers in Physiology. https://doi.org/10.3389/fphys.2020.00552

[4]     Hajal, C., et al. (2021). The effects of luminal and trans-endothelial fluid flows on the extravasation and tissue invasion of tumor cells in a 3D in vitro microvascular platform. Biomaterials. https://doi.org/10.1016/j.biomaterials.2020.120470

[5]     Rochier, A., et al. (2011). Laminar shear, but not orbital shear, has a synergistic effect with thrombin stimulation on tissue factor expression in human umbilical vein endothelial cells. Journal of Vascular Surgery. https://doi.org/10.1016/j.jvs.2011.01.002

[6]     Lipowsky, H. H., et al. (1978). The distribution of blood rheological parameters in the microvasculature of cat mesentery. Circulation Research. https://doi.org/10.1161/01.res.43.5.738

[7]     Kimura, H., et al. (2018). Effect of fluid shear stress on in vitro cultured ureteric bud cells. Biomicrofluidics. https://doi.org/10.1063/1.5035328

[8]     Ross, E. J., et al. (2021). Three dimensional modeling of biologically relevant fluid shear stress in human renal tubule cells mimics in vivo transcriptional profiles. Scientific Reports. https://doi.org/10.1038/s41598-021-93570-5

[9]     Flitney, E. W., et al. (2009). Insights into the mechanical properties of epithelial cells: The effects of shear stress on the assembly and remodeling of keratin intermediate filaments. The FASEB Journal. https://doi.org/10.1096/fj.08-124453

[10]   Dewey, C. F., Jr., et al. (1981). The dynamic response of vascular endothelial cells to fluid shear stress. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.3138276

[11]   Thompson, C. L., Fu, S., Heywood, H. K., Knight, M. M., & Thorpe, S. D. (2020). Mechanical stimulation: A crucial element of organ-on-chip models. Frontiers in Bioengineering and Biotechnology, 8, 602646. https://doi.org/10.3389/fbioe.2020.602646

[12]   Fluigent. (n.d.). Flow EZ™ microfluidic flow controller. https://www.fluigent.com/research/instruments/pressure-flow-controllers/flow-ez/

[13]   Fluigent. (2024). Controlling flow rate and shear stress with Omi™ to study endothelial cell response [Application note]. https://www.fluigent.com/resources-support/expertise/application-notes/endothelial-cell-culture-under-shear-stress/

[14]   Fluigent. (2022). Development of a human gut-on-chip to assess the effect of shear stress on intestinal functions [Application note]. https://www.fluigent.com/resources-support/expertise/application-notes/development-of-a-human-gut-on-chip-to-assess-the-effect-of-shear-stress-on-intestinal-functions/

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