Micro-to-Nano Biomechanical Modeling for Assisted Biological Cell Injection

Ladjal, Hamid; Hanus, Jean‐Luc; Ferreira, Antoine

doi:10.1109/tbme.2013.2258155

Cited by 48 publications

(13 citation statements)

References 38 publications

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“…Figure 8a shows that the cellular characteristics over the deformation of 15% deviate from Equation (9) obviously. This phenomenon can be explained by large deformation models in the numerical computation domain [22] or some contributions of intercellular organelles structure such as nuclei [23]. We should confirm these unique characteristics, once the issue of inaccuracy of sensing is overcome.…”

Section: Discussionmentioning

confidence: 89%

On-Chip Method to Measure Mechanical Characteristics of a Single Cell by Using Moiré Fringe

et al. 2015

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Abstract:We propose a method to characterize the mechanical properties of cells using a robot-integrated microfluidic chip (robochip) and microscopy. The microfluidic chip is designed to apply the specified deformations to a single detached cell using an on-chip actuator probe. The reaction force is simultaneously measured using an on-chip force sensor composed of a hollow folded beam and probe structure. In order to measure the cellular characteristics in further detail, a sub-pixel level of resolution of probe position is required. Therefore, we utilize the phase detection of moiré fringe. Using this method, the experimental resolution of the probe position reaches 42 nm. This is approximately ten times smaller than the optical wavelength, which is the limit of sharp imaging with a microscope. Calibration of the force sensor is also important in accurately measuring cellular reaction forces. We calibrated the spring constant from the frequency response, by the proposed sensing method of the probe position. As a representative of mechanical characteristics, we measured the elastic modulus of Madin-Darby Cannie Kidney (MDCK) cells. In spite of the rigid spring constant, the resolution and sensitivity were twice that achieved in our previous study. Unique cellular characteristics can be elucidated by the improvements in sensing resolution and accuracy.

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Section: Discussionmentioning

confidence: 89%

On-Chip Method to Measure Mechanical Characteristics of a Single Cell by Using Moiré Fringe

et al. 2015

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“…In recent years, many micromanipulation systems have been developed for different applications, such as genetic engineering by injecting DNAs into cells [11,12], assembling nanomaterials to form nanosensors for healthcare/environmental safety applications [13,14], assembling vascular-like microtubes [15,16], and microcomponents for mobile phone applications, etc. These applications have greatly promoted the development of automation science and engineering.…”

Section: Applicationmentioning

confidence: 99%

A Review on Microscopic Visual Servoing for Micromanipulation Systems: Applications in Micromanufacturing, Biological Injection, and Nanosensor Assembly

et al. 2019

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Micromanipulation is an interdisciplinary technology that integrates advanced knowledge of microscale/nanoscale science, mechanical engineering, electronic engineering, and control engineering. Over the past two decades, it has been widely applied in the fields of MEMS (microelectromechanical systems), bioengineering, and microdevice integration and manufacturing. Microvision servoing is the basic tool for enabling the automatic and precise micromanipulation of microscale/nanoscale entities. However, there are still many problems surrounding microvision servoing in theory and the application of this technology’s micromanipulation processes. This paper summarizes the research, development status, and practical applications of critical components of microvision servoing for micromanipulation, including geometric calibration, autofocus techniques, depth information, and visual servoing control. Suggestions for guiding future innovation and development in this field are also provided in this review.

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“…The model was validated using experimental data of zebrafish embryo microinjections. A simulator for cell injection has been also presented by Ladjal et al (2011Ladjal et al ( , 2013. It is composed of a computer-generated mesh of the cell, a needle, a collision detection algorithm, a physical-based model of deformable cell modeling, and a haptic interaction controller.…”

Section: Electrostatic Active Sensorsmentioning

confidence: 99%

Haptic Feedback for Microrobotics Applications: A Review

et al. 2016

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Microrobotics systems are showing promising results in several applications and scenarios, such as targeted drug delivery and screening, biopsy, environmental control, surgery, and assembly. While most of the systems presented in the literature consider autonomous techniques, there is a growing interest in human-in-the-loop approaches. For reasons of responsibility, safety, and public acceptance, it is in fact beneficial to provide a human with intuitive and effective means for directly controlling these microrobotic systems. In this respect, haptic feedback is widely believed to be a valuable tool in human-in-the-loop teleoperation systems. This article presents a review of the literature on haptic feedback systems for microrobotics, categorizing it according to the type of haptic technology employed. In particular, we considered both tethered and untethered systems, including applications of micropositioning, microassembly, minimally invasive surgery, delivery of objects, micromanipulation, and injection of cells. One of the main challenges for an effective implementation is stability control. In fact, the high scaling factors introduced to match variables in the macro and the micro worlds may introduce instabilities. Another challenge lies in the measurement of position and force signals in the remote environment. The integration of microsized sensors may significantly increase the complexity and cost of tools fabrication. To overcome the lack of force-sensing, vision seems a promising solution. Finally, although the literature on haptic feedback for untethered microrobotics is still quite small, we foreseen a great development of this field of research, thanks to its flexible applications in biomedical engineering scenarios.

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Micro-to-Nano Biomechanical Modeling for Assisted Biological Cell Injection

Cited by 48 publications

References 38 publications

On-Chip Method to Measure Mechanical Characteristics of a Single Cell by Using Moiré Fringe

On-Chip Method to Measure Mechanical Characteristics of a Single Cell by Using Moiré Fringe

A Review on Microscopic Visual Servoing for Micromanipulation Systems: Applications in Micromanufacturing, Biological Injection, and Nanosensor Assembly

Haptic Feedback for Microrobotics Applications: A Review

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