Shape identification and particles size distribution from basic shape parameters using ImageJ

Igathinathane, C.; Pordesimo, L. O.; Columbus, E. P.; Batchelor, William D.; Methuku, Shireesha R

doi:10.1016/j.compag.2008.02.007

Cited by 327 publications

(166 citation statements)

References 7 publications

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“…During the microscopy analysis, particles were aligned perpendicular to the measurement direction, and thus, the particle alignment only slightly influenced the particle size. The observation made by Igathinathane et al [38] that the measured length depends on orientation angle in imaging analysis was confirmed in the present study. It was shown [38], that correction factors can rectify the overestimation.…”

Section: Particle Shape Analysissupporting

confidence: 91%

“…The observation made by Igathinathane et al [38] that the measured length depends on orientation angle in imaging analysis was confirmed in the present study. It was shown [38], that correction factors can rectify the overestimation. The microscopy and 2D dynamic imaging results with respect to x Fe max diameter can be made comparable if the results from the imaging analysis are multiplied by cos (45 ) [39], as shown in Supplementary Fig.…”

Section: Particle Shape Analysissupporting

confidence: 91%

“…S-6. Igathinathane et al [38] used the ffiffiffi ffi p p /2 (% 0.886) correction factor to reduce the width and length of rectangular and cubic particles in imaging analysis; the factor is close to the correction factor of cos(45 ) % 0.707. In 2D dynamic imaging software, the particle thickness is assumed to be equal to the width.…”

Section: Particle Shape Analysismentioning

confidence: 98%

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One way of representing the size and shape of biomass particles in combustion modeling

Trubetskaya

Beckmann²,

Wadenbäck

et al. 2017

Fuel

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a b s t r a c tThis study aims to provide a geometrical description of biomass particles that can be used in combustion models. The particle size of wood and herbaceous biomass was compared using light microscope, 2D dynamic imaging, laser diffraction, sieve analysis and focused beam reflectance measurement. The results from light microscope and 2D dynamic imaging analysis were compared and it showed that the data on particle width, measured by these two techniques, were identical. Indeed, 2D dynamic imaging was found to be the most convenient particle characterization method, providing information on both the shape and the external surface area. Importantly, a way to quantify all three dimensions of biomass particles has been established. It was recommended to represent a biomass particle in combustion models as an infinite cylinder with the volume-to-surface ratio (V/A) measured using 2D dynamic imaging.

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Section: Particle Shape Analysissupporting

confidence: 91%

Section: Particle Shape Analysissupporting

confidence: 91%

Section: Particle Shape Analysismentioning

confidence: 98%

See 1 more Smart Citation

One way of representing the size and shape of biomass particles in combustion modeling

Trubetskaya

Beckmann²,

Wadenbäck

et al. 2017

Fuel

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“…In this context, ImageJ, a Java-based, multithreaded, freely available, open source, platform independent, and public domain image processing and analysis program which was developed at the National Institutes of Health (NIH), USA [34,35] has been investigated in order to process images in the medical, agricultural and geographical domains [36][37][38][39], but not yet assayed in 2D-GC data to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive two-dimensional gas chromatography for fingerprint pattern recognition in olive oils produced by two different techniques in Portuguese olive varieties Galega Vulgar, Cobrançosa e Carrasquenha

Vaz-Freire

Silva

Freitas

2009

Analytica Chimica Acta

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a b s t r a c tFor olive oil production a metal hammer-decanter olive processing line was compared to a traditional metal hammer-press line, a discontinuous method which, if properly used, yields high-quality virgin olive oils. Galega, Carrasquenha and Cobranç osa olives (traditional Portuguese varieties) were studied. The analysis of the aroma compounds was performed after headspace-solid phase micro extraction. The analytical results obtained after comprehensive gas chromatography in tandem with time of flight mass spectrometry (GC × GC/ToFMS) for these three different olive oil varieties, from a single year harvest and processed with two different extraction technologies, were compared using statistical image treatment, by means of ImageJ software, for fingerprint recognitions and compared with principal component analysis when the area data of each chromatographic spot of the contour plots were considered. The differences used to classify the olive oils studied under different groups after principal component analysis were observed independently of the treatment used (peak areas or the sum of the pixels counts). When the individual peak areas were considered, more then 75.7% of the total variance is explained by the first two principal components while in the case where the data were subjected to image treatment 84.0% of the total variance is explained by the first two principal components. In both cases the first and second principal components present eigenvalues higher then 1.0. Fingerprint image monitoring of the aroma compounds of the olive oil allowed a rapid differentiation of the three varieties studied as well as the extraction methods used. The volatile compounds responsible for their characterization were tentatively identified in a bi-dimensional polar/non-polar column set in the GC × GC/Tof-MS apparatus. This methodology allowed the reduction of the number of compounds needed for matrices characterization, preserving the efficiency of the discrimination, when compared with the traditional methods where the identification of all peaks is needed.

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“…Analysis of the thickness was performed using ImageJ. 47,48 For each image, five measurements were taken of the HAZ. The measurements were taken by drawing a line perpendicular to the foil-substrate interface to the edge of the HAZ.…”

Section: Heat Capacitymentioning

confidence: 99%

Prediction and characterization of heat-affected zone formation in tin-bismuth alloys due to nickel-aluminum multilayer foil reaction

Hooper

Davis

Johns

et al. 2015

Journal of Applied Physics

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Reactive multilayer foils have the potential to be used as local high intensity heat sources for a variety of applications. Most of the past research effort concerning these materials have focused on understanding the structure-property relationships of the foils that govern the energy released during a reaction. To improve the ability of researchers to more rapidly develop technologies based on reactive multilayer foils, a deeper and more predictive understanding of the relationship between the heat released from the foil and microstructural evolution in the neighboring materials is needed. This work describes the development of a numerical model for the purpose of predicting heat affected zone size in substrate materials. The model is experimentally validated using a commercially available Ni-Al multilayer foils and alloys from the Sn-Bi binary system. To accomplish this, phenomenological models for predicting the variation of physical properties (i.e., thermal conductivity, density, and heat capacity) with temperature and composition in the Sn-Bi system were utilized using literature data.

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Shape identification and particles size distribution from basic shape parameters using ImageJ

Cited by 327 publications

References 7 publications

One way of representing the size and shape of biomass particles in combustion modeling

One way of representing the size and shape of biomass particles in combustion modeling

Comprehensive two-dimensional gas chromatography for fingerprint pattern recognition in olive oils produced by two different techniques in Portuguese olive varieties Galega Vulgar, Cobrançosa e Carrasquenha

Prediction and characterization of heat-affected zone formation in tin-bismuth alloys due to nickel-aluminum multilayer foil reaction

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