<i>ipyChord</i>: a package for evaluating small-angle X-ray scattering data of fiber symmetry

Li, Xuke

doi:10.1107/s1600576721001369

Cited by 12 publications

(7 citation statements)

References 38 publications

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“…The analyses of WAXD data were processed by pyFAI software, and the SAXS data was carried out using the Fit2d software package, and partial data was evaluated using ipyChord . In WAXD analysis, the degree of crystal orientation was obtained using Herman’s method .…”

Section: Methodsmentioning

confidence: 99%

“…The analyses of WAXD data were processed by pyFAI software, and the SAXS data was carried out using the Fit2d software package, 33 and partial data was evaluated using ipyChord. 34 In WAXD analysis, the degree of crystal orientation was obtained using Herman's method. 35 In specific, the degree of orientation, f 020, was calculated from the azimuthal intensity distribution of the (020) crystal reflection.…”

Section: Methodsmentioning

confidence: 99%

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Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during In Vitro Degradation with Different Heat-Setting Temperatures

et al. 2021

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The structural evolution of polyglycolide (PGA) and poly(glycolide-co-lactide) (P(GA-co-LA)) with 8% LA content fibers with different heat-setting temperatures was investigated during in vitro degradation using WAXD, SAXS, and mechanical property tests. It was found that the PGA fiber was more susceptible to the degradation process than the P(GA-co-LA) fiber and a higher heat-setting temperature reduced the degradation rate of the two samples. The weight and mechanical properties of the samples showed a gradual decrease during degradation. We proposed that the degradation of PGA and P(GA-co-LA) fibers proceeded in four stages. A continuous increase in crystallinity during the early stage of degradation and a gradual decline during the later period indicated that preferential hydrolytic degradation occurred in the amorphous regions, followed by a further degradation in the crystalline regions. The cleavage-induced crystallization occurred during the later stage of degradation, contributing to an appreciable decrease in the long period and lamellar thickness of both PGA and P(GA-co-LA) samples. The introduction of LA units into the PGA skeleton reduced the difference in the degradation rate between the crystalline and amorphous regions, and they were simultaneously degraded in the early stage of degradation, leading to a degradation mechanism different from that of the PGA fiber.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during In Vitro Degradation with Different Heat-Setting Temperatures

et al. 2021

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“…The analyses of WAXD data were processed by pyFAI software, and the SAXS data was carried out using the Fit2d software package, and partial data was evaluated using ipyChord . WAXD is a method for studying unit cell parameters, crystallinity, and degree of orientation.…”

Section: Methodsmentioning

confidence: 99%

“…The analyses of WAXD data were processed by pyFAI software, and the SAXS data was carried out using the Fit2d software package, 32 and partial data was evaluated using ipyChord. 33 WAXD is a method for studying unit cell parameters, crystallinity, and degree of orientation. The orthorhombic unit cell parameters a and b were evaluated in terms of the following equation using the crystallographic plane analysis where λ is the X-ray wavelength and θ is the diffraction angle.…”

Section: Methodsmentioning

confidence: 99%

Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during the Heat-Setting Process

et al. 2021

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PGA and P(GA-co-LA) fibers applied as surgical sutures strongly depend on their microstructure. The structural evolution in both the relaxed and tensioned states during heat-setting after hot stretching, which included heating and postannealing, was investigated using in situ WAXD/SAXS and DSC techniques. We found that the fibers of both PGA and P(GA-co-LA) with 8% LA content under the relaxed state were more advantageous than the fibers under the tensioned state indicated by the larger crystallite sizes and unit cell parameters and the higher crystallinity. The mechanical properties of the samples increased after heatsetting. Heat-setting at 120 °C was more suitable for promoting the fiber properties, which can be ascribed to crystal formation and perfection. During the heating, the thermal expansion increased the unit cell parameters and the long period of PGA linearly, whereas the unit cell parameters of P(GA-co-LA) had an obvious turning point at 60−80 °C, and the long period showed a sudden decline in the temperature range of 60−80 °C, which was mainly the result of the discharge of LA units. The unit cell parameters and the long period of both PGA and P(GA-co-LA) decreased during the isotherm process due to crystal perfection. However, the P(GA-co-LA) decrease was more prominent than PGA because of the inclusion of LA monomers in the crystal structure of GAs.

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“…Although this technique produces high-definition results, its experimental setup introduces image defects due to the experimental geometry, the beamstop and the detector inter-module gaps (Liu et al, 2017). Thus, X-ray scattering images are commonly masked to remove the corrupted or missing pixels from the experimental results (Shimizu et al, 2016;Li, 2021). Although the remaining pixels in the masked image present trustworthy information for the materials characterization of the sample, the presence of gaps introduces a pattern discontinuity that can affect the computational analysis of the samples.…”

Section: Introductionmentioning

confidence: 99%

A comparison of deep-learning-based inpainting techniques for experimental X-ray scattering

et al. 2022

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The implementation is proposed of image inpainting techniques for the reconstruction of gaps in experimental X-ray scattering data. The proposed methods use deep learning neural network architectures, such as convolutional autoencoders, tunable U-Nets, partial convolution neural networks and mixed-scale dense networks, to reconstruct the missing information in experimental scattering images. In particular, the recovered pixel intensities are evaluated against their corresponding ground-truth values using the mean absolute error and the correlation coefficient metrics. The results demonstrate that the proposed methods achieve better performance than traditional inpainting algorithms such as biharmonic functions. Overall, tunable U-Net and mixed-scale dense network architectures achieved the best reconstruction performance among all the tested algorithms, with correlation coefficient scores greater than 0.9980.

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ipyChord: a package for evaluating small-angle X-ray scattering data of fiber symmetry

Cited by 12 publications

References 38 publications

Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during In Vitro Degradation with Different Heat-Setting Temperatures

Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during In Vitro Degradation with Different Heat-Setting Temperatures

Structural Evolution of Polyglycolide and Poly(glycolide-co-lactide) Fibers during the Heat-Setting Process

A comparison of deep-learning-based inpainting techniques for experimental X-ray scattering

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