Optical super-resolution microscopy in polymer science

Chapman, Dana V.; Du, Hui; Lee, Wennie Yun; Wiesner, Ulrich

doi:10.1016/j.progpolymsci.2020.101312

Cited by 24 publications

(35 citation statements)

References 213 publications

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“…Section 5). [9] Dual-fluorescent OFPs are advantageous for tracking of the non-activated material by fluorescence microscopy, which is helpful for non-uniform, compartmentalized, or mobile materials, such as nanoparticles and colloids. [23] Many examples for fluorogenic OFPs have been reported.…”

Section: Fluorescent Force Probesmentioning

confidence: 99%

Tailoring the Properties of Optical Force Probes for Polymer Mechanochemistry

Stratigaki

Centeno

et al. 2021

Chemistry A European J

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The correlation of mechanical properties of polymer materials with those of their molecular constituents is the foundation for their holistic comprehension and eventually for improved material designs and syntheses. Over the last decade, optical force probes (OFPs) were developed, shedding light on various unique mechanical behaviors of materials. The properties of polymers are diverse, ranging from soft hydrogels to ultra-tough composites, from purely elastic rubbers to viscous colloidal solutions, and from transparent glasses to super black dyed coatings. Only very recently, researchers started to develop tailored OFP solutions that account for such material requirements in energy (both light and force), in time, and in their spatially detectable resolution. We here highlight notable recent examples and identify future challenges in this emergent field.

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Section: Fluorescent Force Probesmentioning

confidence: 99%

Tailoring the Properties of Optical Force Probes for Polymer Mechanochemistry

Stratigaki

Centeno

et al. 2021

Chemistry A European J

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“…New perspectives on the study of microstructures are being opened by modern three-dimensional imaging methods/tools capable of reconstructing porous materials' structure [6] [9] [19]. Different modern imaging techniques are able to provide high-fidelity visualization [24] and characterization of 2-D/3-D porous micro-structures [25] such as pore topologies with negligible loss, i.e., affordable computational resources. The digital micro-structure can be applied for a variety of simulation or diagnostic purposes [6] [9].…”

Section: Porous-structure Representationmentioning

confidence: 99%

“…If the sample is inhomogeneous, this time-consuming process can provide the best solution to get a 3D image for CFD simulations. This method is hugely computation and memory demanding; therefore, it is incredibly challenging nowadays for computers to reach a level capable of identifying cells by optical characteristics [25]. [47] The scanning probe microscopes (SPM) can give several pieces of information about the material sample at the atomic scale.…”

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

“…The maximum resolution is specified by the light's diffraction limit, like in the case of OM [46] [52]. The compensation of light collection's losses by raising the exciting laser light is not an appropriate solution because more laser power leads to more phototoxicity and photobleaching [25].…”

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

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Possibilities of porous-structure representation – an overview

Szűcs

Vehovszky

2021

Acta Tech. Jaurinensis

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Porous media can be found in all areas of scientific life, such as medicine, civil engineering, material science, fluid dynamics. Computing has achieved high efficiency and computational capacity – so far. However, three-dimensional Computational Fluid Dynamics (CFD) simulations of microstructure remain significant challenges. Pore-scale simulations can help understand the physical processes and determine macroscopic parameters such as the high-frequency limit of dynamic tortuosity, viscous, and thermal characteristic lengths. Independent of whether the computational problem is two or three-dimensional, the geometry as input parameter must be prepared. For this reason, geometry representation methods play a crucial role in the analysis at the pore-scale, especially in numerical simulations. In this article, an insight into microstructures’ visualization capabilities is provided essentially for CFD simulations.

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“…While SRM initially found its main application in cell biology for the study of subcellular structures, recently its impact became very significant also in chemistry, materials science and nanotechnology. 3 The minimal invasiveness of this technique aids to visualize molecular structures and processes at nanometric resolution in operando , thereby unveiling unprecedented insights in numerous fields, including supramolecular chemistry, 4–12 plasmonics, 13–18 catalysis, 19–25 polymer chemistry, 26,27 and biomaterials. 28–30 Although still in its infancy, the potential of SRM has intrigued scientists across various disciplines during the last few years as highlighted by pioneering reports and reviews on SRM.…”

Section: Introductionmentioning

confidence: 99%