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Niels B. Ramsing

Researcher at Aarhus University

Publications -  73
Citations -  7095

Niels B. Ramsing is an academic researcher from Aarhus University. The author has contributed to research in topics: Embryo quality & Population. The author has an hindex of 36, co-authored 73 publications receiving 6762 citations. Previous affiliations of Niels B. Ramsing include Technische Universität München & Max Planck Society.

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The use of morphokinetics as a predictor of embryo implantation

TL;DR: A multivariable model is proposed based on the findings to classify embryos according to their probability of implantation and it is proposed that the image acquisition and time-lapse analysis system makes it possible to determine exact timing of embryo cleavages in a clinical setting.
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Pathways of organic carbon oxidation in three continental margin sediments

TL;DR: It is suspected that the importance of O2 respiration in many coastal sediments has been overestimated, whereas metal oxide reduction (both Fe and Mn reduction) has probably been well underestimated.
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Geographical isolation in hot spring cyanobacteria

TL;DR: A lack of correspondence between biological patterning and the chemical character of springs sampled suggested that the geographical distribution of thermophilic cyanobacteria cannot be explained by the 20 potential niche-determining chemical parameters that were assayed, suggesting geographical isolation must in part be responsible for driving the observed evolutionary divergences.
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Distribution of sulfate-reducing bacteria in a stratified fjord (Mariager Fjord, Denmark) as evaluated by most-probable-number counts and denaturing gradient gel electrophoresis of PCR-amplified ribosomal DNA fragments.

TL;DR: The sulfate-reducing bacterial populations of a stratified marine water column, Mariager Fjord, Denmark, were investigated by molecular and culture-dependent approaches in parallel and revealed a highly differentiated pattern of rRNA- and rDNA-derived PCR amplificates, probably reflecting active and resting bacterial populations.