Fiber Cross-Sectional Shape Analysis Using Image Processing Techniques

Xu, Bugao; Pourdeyhimi, Behnam; Sobus, Jon R.

doi:10.1177/004051759306301204

Cited by 54 publications

(35 citation statements)

References 33 publications

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“…Pore size was analyzed by using image analysis software which allows for the calculation of pores based on the measurement and conversion of area of pixels converted to real units of µ 2 . The procedure has been described previously [44,45]. In melt-blown structures, the pore size typically is normal (some are lognormal).…”

Section: Determination Of Pore Size and Porositymentioning

confidence: 99%

Effects of oxygen plasma treatment on adipose-derived human mesenchymal stem cell adherence to poly(L-lactic acid) scaffolds

Hanson

Wall

Pourdeyhimi

et al. 2007

Journal of Biomaterials Science, Polymer Edition

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Plasma treatment of substrate surfaces can be utilized to improve adhesion of cells to tissue-engineered scaffolds. The purpose of this study was to enhance cell adhesion to non-woven poly(L-lactic acid) (PLLA) scaffolds using oxygen plasma treatment to increase surface hydroxyl groups and thereby enhance substrate hydrophilicity. It was hypothesized that oxygen plasma treatment would increase the number of adipose-derived human mesenchymal stem cells (hMSCs) that adhered to melt-blown, non-woven PLLA scaffolds without affecting cell viability. The number of cells that adhered to the oxygen plasma-treated (10 min at 100 W) or untreated PLLA scaffolds was assessed at 2, 4, 8, 12, 24 and 48 h post-seeding via DNA analysis. Cell viability and morphology were also assessed at 2, 4, 8, 12 and 24 h post-seeding via a live/dead assay and hematoxylin staining, respectively. Oxygen plasma treatment decreased the contact angle of water from 75.6 degrees to 58.2 degrees , indicating an increase in the surface hydrophilicity of PLLA. The results of the DNA analysis indicated that there was an increased number of hMSCs on oxygen plasma treated scaffolds for two of the three donors. In addition, oxygen plasma treatment promoted a more even distribution of hMSCs throughout the scaffold and enhanced cell spreading at earlier time points without altering cell viability. This early induction of cell spreading and the uniform distribution of cells, in turn, may increase future proliferation and differentiation of hMSCs under conditions that simulate the microenvironment in vivo.

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Section: Determination Of Pore Size and Porositymentioning

confidence: 99%

Effects of oxygen plasma treatment on adipose-derived human mesenchymal stem cell adherence to poly(L-lactic acid) scaffolds

Hanson

Wall

Pourdeyhimi

et al. 2007

Journal of Biomaterials Science, Polymer Edition

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“…Much research has been conducted with image analysis technology to measure the cotton maturity and other parameters from fibre cross sections Xu & al., 1993). The success of a cross sectional method using image analysis largely relies on two techniques i.e.…”

Section: Indirect Methodsmentioning

confidence: 99%

Macro and Micro Characterization of Biopolymers: Case of Cotton Fibre

Harzallah¹,

Dréan²

2011

Biotechnology of Biopolymers

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“…There have been many basic geometric descriptors of fiber cross-sections, such as area, perimeter, roundness, ellipticity (Xu et al, 1993), circularity (Hebert et al, 1979), modification ratio (Hild et al, 2004), etc. which were defined for the sake of easy to measure.…”

Section: Introductionmentioning

confidence: 99%

“…Xu et al (1993) presented to use Fourier descriptors which derived from the Fourier series for the cumulative angular function of the cross sectional boundary to characterize fiber cross-sectional shapes by using image processing techniques. Fourier descriptors are very robust in characterizing shape complexity and lobe components.…”

Section: Introductionmentioning

confidence: 99%

Profiled fiber cross‐sectional shape characterization for identification

Wang

Zhong²,

Wang³

2011

International Journal of Clothing Science and Technology

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Purpose -The purpose of this paper is to show how shape analysis and quantitative characterization of fiber cross sections, with the aid of image analysis techniques, provide a quick, powerful approach to automated profiled fiber identification. Design/methodology/approach -In this paper, an effective method of cross-sectional shape characterization for profiled fiber identification is reported with extraction of the distance fluctuation curve of fiber cross-sectional boundary to the centroid. By calculating their cross-correlations using signal processing techniques, the authors tackle the problem of calibrating the starting points of fiber objects orientated arbitrarily in image successfully, which are difficult to deal with by means of image processing, to finish the normalization of distance fluctuation curves. For two fiber cross-sections, the similarity degree of their boundary fluctuation curves normalized can effectively reflect the similarity degree of themselves. Findings -Based on this, the method presented extracts the curves of all fiber cross-sections in one sample, compares the similarity degrees between each other, and creates clusters to identify profiled fiber. Originality/value -Experimental results validate that this curve can effectively characterize profiled fiber cross-sectional contour for profiled fiber identification and the normalization method is feasible.

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Fiber Cross-Sectional Shape Analysis Using Image Processing Techniques

Cited by 54 publications

References 33 publications

Effects of oxygen plasma treatment on adipose-derived human mesenchymal stem cell adherence to poly(L-lactic acid) scaffolds

Effects of oxygen plasma treatment on adipose-derived human mesenchymal stem cell adherence to poly(L-lactic acid) scaffolds

Macro and Micro Characterization of Biopolymers: Case of Cotton Fibre

Profiled fiber cross‐sectional shape characterization for identification

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