Publications by authors named "Lars B Christensen"

This paper presents how SensusAccess has been adapted and is being used in higher education to create inclusive educational environments. Reflecting on challenges of providing alternate versions of educational material to students with disabilities, it also discusses how the service can benefit mainstream learners.

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Online pig carcass classification methods require calibration against a reference standard. More than 30years ago, the first reference standard in the EU was defined as the total amount of lean meat in the carcass obtained by manual dissection. Later, the definition was simplified to include only the most important parts of the carcass to obtain a better balance between accuracy and cost.

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X-ray computed tomography (CT) has recently received increased attention in the food science community. The aim of this paper is to demonstrate how grating based phase-contrast CT can provide contrast superior to standard absorption based CT. The method of phase-contrast CT is applied to two samples of porcine subcutaneous fat and rind.

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This paper proposes the use of computed tomography (CT) as a reference method for estimating the lean meat percentage (LMP) of pig carcasses. The current reference is manual dissection which has a limited accuracy due to variability between butchers. A contextual Bayesian classification scheme is applied to classify volume elements of full body CT-scans of pig carcasses into three tissue types.

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The effect of the sampling position is investigated when measuring drip loss in porcine longissimus dorsi muscle. Measuring in biological tissue often includes an assumption of homogeneity of the muscle under investigation, an assumption that only applies to a certain extent. However, this assumption is particularly critical when measuring drip loss.

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