2014
DOI: 10.1016/j.idairyj.2014.08.006
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Enhanced characterisation of milk fat globules by their size, shape and refractive index with scanning flow cytometry

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Cited by 18 publications
(16 citation statements)
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“…Specifically, light scattering profile (LSP) is measured in a wide range of scattering angles. This approach has been successfully applied to RBCs (26,27), as well as to other biological particles, including platelets, bacteria, blood microparticles, and milk fat globules (24,(28)(29)(30)(31). This approach has been successfully applied to RBCs (26,27), as well as to other biological particles, including platelets, bacteria, blood microparticles, and milk fat globules (24,(28)(29)(30)(31).…”
Section: Introductionmentioning
confidence: 99%
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“…Specifically, light scattering profile (LSP) is measured in a wide range of scattering angles. This approach has been successfully applied to RBCs (26,27), as well as to other biological particles, including platelets, bacteria, blood microparticles, and milk fat globules (24,(28)(29)(30)(31). This approach has been successfully applied to RBCs (26,27), as well as to other biological particles, including platelets, bacteria, blood microparticles, and milk fat globules (24,(28)(29)(30)(31).…”
Section: Introductionmentioning
confidence: 99%
“…The core of the characterization method is the solution of the inverse light-scattering (ILS) problem, using a parametric shape model of the characterized particle (24,25). This approach has been successfully applied to RBCs (26,27), as well as to other biological particles, including platelets, bacteria, blood microparticles, and milk fat globules (24,(28)(29)(30)(31). Conceptually similar approach, based on LSP measurement combined with fitting theoretical LSPs, has been recently demonstrated for determination of RBC diameters in a microfluidic channel (32).…”
Section: Introductionmentioning
confidence: 99%
“…The new method does not require chemical spherization of RBCs and utilizes the solution of the inverse light-scattering (ILS) problem, using the optical model of a mature RBC. We used similar approach for characterization of lymphocytes, platelets, rod-like bacteria, blood microparticles, and milk fat globules [11][12][13][14]. Extension of this approach to the RBCs requires knowledge of their precise shape.…”
Section: Introductionmentioning
confidence: 99%
“…Among a multitude of peak functions we have chosen the beta density because it vanishes at the boundaries of the shape index range, which agrees with natural physical constraints. Second, we set d max 5 1 for fully activated platelets, since we did not find any spherical platelets when applied the algorithm for separation of spherical and spheroidal particles from LSPs (33). So we additionally postulated a number of reasonable constraints.…”
Section: Shape Index Distribution Analysismentioning
confidence: 99%
“…However, setting d min 5 0 also works fine and has only minor effect on the final results (data not shown). Second, we set d max 5 1 for fully activated platelets, since we did not find any spherical platelets when applied the algorithm for separation of spherical and spheroidal particles from LSPs (33). Third, we assumed that distributions of both resting and fully activated platelets are symmetric, since our data gives no reliable indications against it.…”
Section: Shape Index Distribution Analysismentioning
confidence: 99%