Neurite Guidance on Laser-Scribed Reduced Graphene Oxide

Lee, Sang Hwa; Lee, Han Byeol; Kim, Yoonyoung; Jeong, Jae Ryeol; Lee, Min Hyung; Kang, Kyung‐Tae

doi:10.1021/acs.nanolett.8b01651

Cited by 25 publications

(17 citation statements)

References 54 publications

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“…Most studies describe an increased neurite response in terms of outgrowth and alignment with increasing groove depth (ranging from 0.2 to 4 µm) (Hirono et al, 1988;Clark et al, 1990;Miller et al, 2002;Gomez et al, 2007b;Chua et al, 2014). This effect was also observed on irregular edges of grooves generated by laser scribing onto a graphene oxide surface (Lee et al, 2018). The influence of the width of groove or ridge appears more complex, with contradictory results according to the dimensions of the topography and types of cells used (Yao et al, 2008;Ferrari et al, 2011;Chua et al, 2014).…”

Section: Guidance Of Neurite Growth By Groovesmentioning

confidence: 99%

Cellular and Subcellular Contact Guidance on Microfabricated Substrates

Leclech

Villard

2020

Front. Bioeng. Biotechnol.

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Topography of the extracellular environment is now recognized as a major biophysical regulator of cell behavior and function. The study of the influence of patterned substrates on cells, named contact guidance, has greatly benefited from the development of micro and nano-fabrication techniques, allowing the emergence of increasingly diverse and elaborate engineered platforms. The purpose of this review is to provide a comprehensive view of the process of contact guidance from cellular to subcellular scales. We first classify and illustrate the large diversity of topographies reported in the literature by focusing on generic cellular responses to diverse topographical cues. Subsequently, and in a complementary fashion, we adopt the opposite approach and highlight cell type-specific responses to classically used topographies (arrays of pillars or grooves). Finally, we discuss recent advances on the key subcellular and molecular players involved in topographical sensing. Throughout the review, we focus particularly on neuronal cells, whose unique morphology and behavior have inspired a large body of studies in the field of topographical sensing and revealed fascinating cellular mechanisms. We conclude by using the current understanding of the cell-topography interactions at different scales as a springboard for identifying future challenges in the field of contact guidance.

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Section: Guidance Of Neurite Growth By Groovesmentioning

confidence: 99%

Cellular and Subcellular Contact Guidance on Microfabricated Substrates

Leclech

Villard

2020

Front. Bioeng. Biotechnol.

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“…Lee's group developed a system aimed at obtaining a very precise line pattern with a 15 µm width and 8 µm spacing. Such topography was reported not only to enhance the adhesion and growth of primary hippocampal neurons, but also to influence the direction of neurite outgrowth [145]. The models previously described were composed of a 2D layer of graphene, but this material can be used for the generation of 3D scaffolds.…”

Section: Carbon-based Nanomaterialsmentioning

confidence: 99%

Biomaterials in Neurodegenerative Disorders: A Promising Therapeutic Approach

Bordoni

Scarian

Rey

et al. 2020

IJMS

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Neurodegenerative disorders (i.e., Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and spinal cord injury) represent a great problem worldwide and are becoming prevalent because of the increasing average age of the population. Despite many studies having focused on their etiopathology, the exact cause of these diseases is still unknown and until now, there are only symptomatic treatments. Biomaterials have become important not only for the study of disease pathogenesis, but also for their application in regenerative medicine. The great advantages provided by biomaterials are their ability to mimic the environment of the extracellular matrix and to allow the growth of different types of cells. Biomaterials can be used as supporting material for cell proliferation to be transplanted and as vectors to deliver many active molecules for the treatments of neurodegenerative disorders. In this review, we aim to report the potentiality of biomaterials (i.e., hydrogels, nanoparticles, self-assembling peptides, nanofibers and carbon-based nanomaterials) by analyzing their use in the regeneration of neural and glial cells their role in axon outgrowth. Although further studies are needed for their use in humans, the promising results obtained by several groups leads us to suppose that biomaterials represent a potential therapeutic approach for the treatments of neurodegenerative disorders.

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“…Ground-breaking work focused on direct laser writing of graphene oxide (GO), a graphene derivative that can be mass-produced via wet chemical pathways [4,7,8]. Laser reduction of GO removes insulating oxygen functional groups with precision, which enables micro-patterning and structuring capabilities that are essential for the production of graphene-based electronics [9]. Recently, laser-induced graphene (LIG) patterned on polyimides (PI) substrates has shown potential in fabricating flexible electronic devices [10].…”

Section: Introductionmentioning

confidence: 99%

Machine-learning-assisted fabrication: Bayesian optimization of laser-induced graphene patterning using in-situ Raman analysis

Wahab

Jain

Tyrrell

et al. 2020

Carbon

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The control of the physical, chemical, and electronic properties of laser-induced graphene (LIG) is crucial in the fabrication of flexible electronic devices. However, the optimization of LIG production is time-consuming and costly. Here, we demonstrate state-of-the-art automated parameter tuning techniques using Bayesian optimization to advance rapid singlestep laser patterning and structuring capabilities with a view to fabricate graphene-based electronic devices. In particular, a large search space of parameters for LIG explored efficiently. As a result, high-quality LIG patterns exhibiting high Raman G/D ratios at least a factor of four larger than those found in the literature were achieved within 50 optimization iterations in which the laser power, irradiation time, pressure and type of gas were optimized. Human-interpretable conclusions may be derived from our machine learning model to aid our understanding of the underlying mechanism for substrate-dependent LIG growth, e.g. highquality graphene patterns are obtained at low and high gas pressures for quartz and polyimide, respectively. Our Bayesian optimization search method allows for an efficient experimental design that is independent of the experience and skills of individual researchers, while reducing experimental time and cost and accelerating materials research.

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Neurite Guidance on Laser-Scribed Reduced Graphene Oxide

Cited by 25 publications

References 54 publications

Cellular and Subcellular Contact Guidance on Microfabricated Substrates

Cellular and Subcellular Contact Guidance on Microfabricated Substrates

Biomaterials in Neurodegenerative Disorders: A Promising Therapeutic Approach

Machine-learning-assisted fabrication: Bayesian optimization of laser-induced graphene patterning using in-situ Raman analysis

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