Large-deformation strain energy density function for vascular smooth muscle cells

Rothermel, Taylor M.; Win, Zaw; Alford, Patrick W.

doi:10.1016/j.jbiomech.2020.110005

Cited by 11 publications

(4 citation statements)

References 76 publications

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“…To our knowledge, the reason is that axial direction is the direction of the blood flow. The changes in the mechanical environment are different between axial and radial of the arterial smooth muscle ( Messas et al, 2013 ; Rothermel et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition

Chen,

Luo

et al. 2024

Front. Bioeng. Biotechnol.

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Introduction: In studies of pulse wave analysis, single-channel sensors only adopt single temporal pulse signals without spatial information to show pulse-feeling patterns. Multi-channel arterial pulse signals, also named as three-dimensional pulse images (3DPIs), provide the spatial and temporal characteristics of radial pulse signals. When involving single or few-channel sensors, pressing offsets have substantial impacts on obtaining inaccurate physiological parameters like tidal peak (P2).Methods: This study discovers the pressing offsets in multi-channel pulse signals and analyzes the relationship between the pressing offsets and time of P2 (T2) by qualifying the pressing offsets. First, we employ a data acquisition system to capture 3DPIs. Subsequently, the errorT2 is developed to qualify the pressing offsets.Results: The outcomes display a central low and peripheral high pattern. Additionally, the errorT2 increase as the distances from the artery increase, particularly at the radial ends of the blood flow direction. For every 1 mm increase in distances between sensing elements and center sensing elements, the errorT2 in the radial direction escalates by 4.87%. When the distance is greater than 3.42 mm, the errorT2 experiences a sudden increase.Discussion: The results show that increasing the sensor channels can overcome the pressing offsets in radial pulse signal acquisition.

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Section: Discussionmentioning

confidence: 99%

Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition

Chen,

Luo

et al. 2024

Front. Bioeng. Biotechnol.

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“…To investigate time-dependent changes in mechanical properties, time-lapse images can be taken of the cell/bead layer. (For examples of different types of stretching protocols that can be performed with CμBS, see Cook, Chau, & Alford, 2021;Rothermel, Win, & Alford, 2020Win et al, 2017Win et al, , 2018. The fluorescent images of the bead layer should be focused on the top layer of the polyacrylamide gel to capture the cell-induced deformation.…”

Section: Methodsmentioning

confidence: 99%

“…CμBS has a wide range of potential applications for studying the interplay of cellular mechanical behavior and cytoskeletal architecture that has not previously been fully explored. CμBS stretching has been used to characterize the mechanical properties of vascular smooth muscle cells (VSMCs) under relatively small (up to 25% strain; Win et al, 2017Win et al, , 2018 and large (up to 65% strain; Rothermel et al, 2020) deformations. These studies showed that cells have anisotropic mechanical properties related to their internal actin cytoskeleton and demonstrate hysteresis in which stress is greater during loading than unloading.…”

Section: Commentary Background Informationmentioning

confidence: 99%

“…Overall, the results of this study indicate that anisotropic basal cell stress and stiffness are dependent on cytoskeletal alignment (Win et al., 2017). The orientation of actomyosin fibers also influences hysteresis (Win et al., 2018) and is a primary mediator of cell anisotropic stress (Rothermel et al., 2020; Win et al., 2017). Using the measurements of cell stress and cytoskeletal architecture we are able to characterize the mechanical properties of VSMCs using architecture dependent models, such as Holzapfel‐Gasser‐Ogden type strain energy density functions (Rothermel et al., 2020; Win et al., 2017), Hill‐type descriptions (Rothermel et al., 2021; Win et al., 2018), or fiber‐based mechanoadaptation laws (Cook et al., 2021).…”

Section: Commentarymentioning

confidence: 99%

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Cellular Microbiaxial Stretching Assay for Measurement and Characterization of the Anisotropic Mechanical Properties of Micropatterned Cells

2022

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Characterizing the mechanical properties of single cells is important for developing descriptive models of tissue mechanics and improving the understanding of mechanically driven cell processes. Standard methods for measuring singlecell mechanical properties typically provide isotropic mechanical descriptions. However, many cells exhibit specialized geometries in vivo, with anisotropic cytoskeletal architectures reflective of their function, and are exposed to dynamic multiaxial loads, raising the need for more complete descriptions of their anisotropic mechanical properties under complex deformations. Here, we describe the cellular microbiaxial stretching (CμBS) assay in which controlled deformations are applied to micropatterned cells while simultaneously measuring cell stress. CμBS utilizes a set of linear actuators to apply tensile or compressive, short-or long-term deformations to cells micropatterned on a fluorescent bead-doped polyacrylamide gel. Using traction force microscopy principles and the known geometry of the cell and the mechanical properties of the underlying gel, we calculate the stress within the cell to formulate stress-strain curves that can be further used to create mechanical descriptions of the cells, such as strain energy density functions.

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Surface Nanopatterned Shape Memory Alloy (SMA)‐Based Photosensitive Artificial Muscle

Kim

Lee

Cho

et al. 2021

Advanced Optical Materials

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Light‐driven shape memory alloy (SMA)‐based microscale actuators show great promise for artificial muscle and biomedical applications, as they are actuated remotely and have a fast response speed. However, ultraviolet (UV) light is required for device actuation; thus, the operating environment has been limited. Here, an infrared (IR) light‐driven SMA actuator is proposed, in which the plasmonic effect is used to enhance IR light absorptance. A sub‐micrometer pattern is used to create an optical meta‐surface capable of tuning the light absorptance. Conical nanohole arrays are fabricated with a focused ion beam. The absorptance tuning effect is evaluated in terms of the optical characteristics and performance of the actuator. The nanopatterned surface increases the narrow‐band IR light absorption by up to 55%. Optics simulations are conducted to verify the experimental results. A pattern design method is proposed, based on the light wavelength of the stimulating source. Combining heterogeneous surfaces, both UV and IR light achieve decoupled microscale actuation. These actuators show a response similar to that of the iris muscle, which is responsible for the eye's pupillary reflex. It is expected that these actuators will broaden SMA applications in clinical devices and soft robotics.

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Large-deformation strain energy density function for vascular smooth muscle cells

Cited by 11 publications

References 76 publications

Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition

Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition

Cellular Microbiaxial Stretching Assay for Measurement and Characterization of the Anisotropic Mechanical Properties of Micropatterned Cells

Surface Nanopatterned Shape Memory Alloy (SMA)‐Based Photosensitive Artificial Muscle

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