scholarly journals A New Framework for Microrobotic Control of Motile Cells based on High-Speed 3-D Tracking and Galvanotaxis Control

2008 ◽  
Vol 26 (6) ◽  
pp. 575-582
Author(s):  
Takeshi Hasegawa ◽  
Naoko Ogawa ◽  
Hiromasa Oku ◽  
Masatoshi Ishikawa
2019 ◽  
Vol 23 (2) ◽  
Author(s):  
Yusuke Kasai ◽  
Shinya Sakuma ◽  
Fumihito Arai
Keyword(s):  

2020 ◽  
Author(s):  
Dario Cortese ◽  
Kirsty Y. Wan

Helical swimming is a ubiquitous strategy for motile cells to generate self-gradients for environmental sensing. The model biflagellate Chlamydomonas reinhardtii rotates at a constant 1 – 2 Hz as it swims, but the mechanism is unclear. Here, we show unequivocally that the rolling motion derives from a persistent, non-planar flagellar beat pattern. This is revealed by high-speed imaging and micromanipulation of live cells. We construct a fully-3D model to relate flagellar beating directly to the free-swimming trajectories. For realistic geometries, the model reproduces both the sense and magnitude of the axial rotation of live cells. We show that helical swimming requires further symmetry-breaking between the two flagella. These functional differences underlie all tactic responses, particularly phototaxis. We propose a control strategy by which cells steer towards or away from light by modulating the sign of biflagellar dominance.


AIAA Journal ◽  
2011 ◽  
Vol 49 (8) ◽  
pp. 1647-1657 ◽  
Author(s):  
Alexander Fedorov ◽  
Anatoli Tumin

2005 ◽  
Vol 21 (4) ◽  
pp. 704-712 ◽  
Author(s):  
N. Ogawa ◽  
H. Oku ◽  
K. Hashimoto ◽  
M. Ishikawa

Author(s):  
Rikki M. Garner ◽  
Julie A. Theriot

AbstractAnimal cell migration is predominantly driven by the coordinated, yet stochastic, polymerization of thousands of nanometer-scale actin filaments across micron-scale cell leading edges. It remains unclear how such inherently noisy processes generate robust cellular behavior. We employed high-speed, high-resolution imaging of migrating neutrophil-like HL-60 cells to explore the fine-scale dynamic shape fluctuations that emerge and relax throughout the process of leading edge maintenance. We then developed a minimal stochastic model of the leading edge that is able to reproduce this stable relaxation behavior. Remarkably, we find that lamellipodial stability naturally emerges from the interplay between branched actin network growth and leading edge shape – with no additional feedback required – based on a synergy between membrane-proximal branching and lateral spreading of filaments. These results thus demonstrate a novel biological noise-suppression mechanism based entirely on system geometry. Furthermore, our model suggests that the Arp2/3-mediated ∼70-80º branching angle optimally smooths lamellipodial shape, addressing its long-mysterious conservation from protists to mammals.One sentence summaryAn experimental and computational investigation of fluctuation dynamics at the leading edge of motile cells demonstrates that the specific angular geometry of Arp2/3-mediated actin network branch formation lies at the core of a successful biological noise-suppression strategy.


2008 ◽  
Vol 130 (5) ◽  
Author(s):  
R. J. Wood ◽  
S. Avadhanula ◽  
R. Sahai ◽  
E. Steltz ◽  
R. S. Fearing

Mobile microrobots with characteristic dimensions on the order of 1cm are difficult to design using either microelectromechanical systems technology or precision machining. This is due to the challenges associated with constructing the high strength links and high-speed, low-loss joints with micron scale features required for such systems. Here, we present an entirely new framework for creating microrobots, which makes novel use of composite materials. This framework includes a new fabrication process termed smart composite microstructures (SCM) for integrating rigid links and large angle flexure joints through a laser micromachining and lamination process. We also present solutions to actuation and integrated wiring issues at this scale using SCM. Along with simple design rules that are customized for this process, our new complete microrobotic framework is a cheaper, quicker, and altogether superior method for creating microrobots that we hope will become the paradigm for robots at this scale.


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