Design and validation of a modular micro-robotic system for the mechanical characterization of soft tissues

Acuna, Andrea; Jimenez, Julian M.; Deneke, Naomi; Rothenberger, Sean; Libring, Sarah; Solorio, Luis; Rayz, Vitaliy L.; Davis, Chelsea S.; Calve, Sarah

doi:10.1016/j.actbio.2021.07.035

Cited by 6 publications

(5 citation statements)

References 55 publications

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Section: Discussionmentioning

confidence: 99%

“…Therefore, a floating platform mounting system was designed (c) and used with the confocal microscope to image fibrin gels at different levels of deformation (d). For strain-rate dependent testing (Section 2.4) a spring mounting system described in [31] was designed (e) and used with deformation recorded with a dissecting microscope (f). Mean +/standard deviation of orientation distributions of the xy and xz planes for 2 mg/mL (e) and 4 mg/mL (f) gels, with representative orientation distribution fits for a 2 mg/mL (g) and 4 mg/mL (h) gel.…”

Section: Discussionmentioning

confidence: 99%

“…2e-f [31]. Baseline tests, in which forces were measured with no sample mounted were performed after each test to subtract from the recorded mounted force data as previously described [31]. Deformation was recorded continuously throughout the tests with a INFINITY3-3URC camera (Lumenera) mounted on an M80 dissecting microscope (Leica Microsystems), at a frame rate of approximately 10 frames per second.…”

Section: Strain Rate Dependent Mechanical Testingmentioning

confidence: 99%

“…Due to microscale vibrations that interfered with the simultaneous recording of force and confocal images, two experiments were performed to: (1) observe strain-dependent changes in fibrin network organization and (2) measure stress relaxation of the fibrin gels. A FemtoTools micromanipulator system (FT-RS1002) was used to apply unidirectional tensile deformations of the fibrin gels in both experiments [31], using different mounting systems. A custom slider assembly (without a microforce sensor) was used for experiment (1) (Fig.…”

Section: Stress-relaxation Experimentsmentioning

confidence: 99%

“…The micromanipulator and force sensor described above were used with the mounting system in Fig. 2e-f [31]. Baseline tests, in which forces were measured with no sample mounted were performed after each test to subtract from the recorded mounted force data as previously described [31].…”

Section: Strain Rate Dependent Mechanical Testingmentioning

confidence: 99%

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Multiscale Mechanical Characterization and Computational Modeling of Fibrin Gels

Jimenez¹,

Tuttle

Guo

et al. 2022

Preprint

Self Cite

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Fibrin is a naturally occurring protein network that forms a temporary structure to enable remodeling during wound healing. It is also a common tissue engineering scaffold because the structural properties can be controlled. However, to fully characterize the wound healing process and improve the design of regenerative scaffolds, understanding fibrin mechanics at multiple scales is necessary. Here, we present a strategy to quantify both the macroscale (1 – 10 mm) stress-strain response and the deformation of the mesoscale (10 – 1000 μm) network structure during unidirectional tensile tests. The experimental data is then used to inform a computational model to accurately capture the mechanical response of fibrin gels. Simultaneous mechanical testing and confocal microscopy imaging of fluorophore-conjugated fibrin gels revealed up to an 88% decrease in volume coupled with increase in volume fraction in deformed gels, and non-affine fiber alignment in the direction of deformation. Combination of the computational model with finite element analysis enabled us to predict the strain fields that were observed experimentally within heterogenous fibrin gels with spatial variations in material properties. These strategies can be expanded to characterize and predict the macroscale mechanics and mesoscale network organization of other heterogeneous biological tissues and matrices.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Strain Rate Dependent Mechanical Testingmentioning

confidence: 99%

Section: Stress-relaxation Experimentsmentioning

confidence: 99%

Section: Strain Rate Dependent Mechanical Testingmentioning

confidence: 99%

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Multiscale Mechanical Characterization and Computational Modeling of Fibrin Gels

Jimenez¹,

Tuttle

Guo

et al. 2022

Preprint

Self Cite

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Design and Characterization of a Dual‐Interval Elastic Force Sensor for Robot‐Assisted Microinjection

Lyu,

Ai,

et al. 2024

Advanced Sensor Research

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Robot‐assisted microinjection has been widely implemented in the field of experimental biology research. Force perception is more accurate than visual feedback in determining the state of interaction between the micropipette and the biological sample. The existing micro‐force sensors are difficult to directly combine with micropipettes to fully utilize their capabilities. This paper develops a new integrated force‐sensing microinjector with both micro‐force sensing and micropipette carrying functions using a symmetrical compliant guide mechanism and highly sensitive semiconductor strain gauges. Overload protection is considered in the structure design of the sensor, which is beneficial in reducing damage caused by displacement overshot due to misuse. The mechanical performance of the proposed dual‐interval force sensing device is verified through theoretical derivation, simulation analysis, and experimental testing. The sensitivity, resolution, accuracy, dynamic response, stability, and repeatability of the sensor are investigated and evaluated in the established experimental platform. Finally, puncture experiments are conducted on zebrafish larvae and crab eggs using the proposed force‐sensing microinjector. The results indicate that the sensor is effective in recording force signals during penetration of the sample.

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Multiscale mechanical characterization and computational modeling of fibrin gels

et al. 2023

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Design and validation of a modular micro-robotic system for the mechanical characterization of soft tissues

Cited by 6 publications

References 55 publications

Multiscale Mechanical Characterization and Computational Modeling of Fibrin Gels

Multiscale Mechanical Characterization and Computational Modeling of Fibrin Gels

Design and Characterization of a Dual‐Interval Elastic Force Sensor for Robot‐Assisted Microinjection

Multiscale mechanical characterization and computational modeling of fibrin gels

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