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Scientific Publication Citing Dragonfly

Survey of image analysis methods applied to consumer foods

Nicolas Piche (1), Emimal Jabason (1), Mike Marsh (2), and Almut Vollmer (3)
Microscopy and Microanalysis, 24, Supplement 1, August 2018: 1208-1209. DOI: 10.1017/S1431927618006529

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Keywords

Consumer foods, Image visualization, Dragonfly, Materials science, Life sciences, Food, Image analysis

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Abstract

Imaging methods and associated image processing techniques are frequently described in applications for materials and life sciences. Contrast mechanisms and key research questions often diverge greatly between the unrelated disciplines. There is, however, great overlap in the software tools required to transform the fundamentally different images into quantitative findings, and this is seen clearly in food imaging, where samples exhibit both material and life science properties. Here we use two very different foods to illustrate image analysis applications in the domain of consumer food microstructure characterization, and we rely on the commercial software Dragonfly as a single unified platform for image analysis and visualization. First we consider feta cheese samples on a length scale of 50 μm, where samples were imaged by TEM following various experimental treatments. Second, we look at multi-scale x-ray microscopy imaging of a chocolate wafer bar, imaged on scales spanning micrometers to millimeters.

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Author Affiliation

(1) Object Research Systems. Montreal, Canada.
(2) Object Research Systems. Denver, CO.
(3) Dept of Nutrition, Dietetics and Food Sciences. Utah State University. Logan, UT.

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