نتایج جستجو برای: gold labelling

تعداد نتایج: 95814  

Journal: :British Dental Journal 2005

Journal: :Nordicom Review 2012

2012
W erner Jahn

W ater soluble undecagold clusters have been used successfully for the labelling of proteins and the sub­ sequent visualization of the label by electron micro­ scopy [1, 2, 3], In addition, undecagold clusters have also been used as heavy atom labels in X-ray crystal­ lography of very large proteins [4], The monofunc­ tional clusters needed for these experiments can be prepared by blocking all ...

Journal: :Anaesthesia 2003

1998
Montse Pardàs

In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from the overlapping produced between objects when there is relative motion as well as from motion coherence between neighbouring regions. A relaxation labelling algorithm is used to solve conflicts and assign every region...

Journal: :Journal of cell science 1998
S Searle N A Bright T I Roach P G Atkinson C H Barton R H Meloen J M Blackwell

The murine natural resistance-associated macrophage protein, Nramp1, has multiple pleiotropic effects on macrophage activation and regulates survival of intracellular pathogens including Leishmania, Salmonella and Mycobacterium species. Nramp1 acts as an iron transporter, but precisely how this relates to macrophage activation and/or pathogen survival remains unclear. To gain insight into funct...

2008
Yvonne Nemcova

The rigid cell wall of Chlorella vulgaris (Trebouxiophyceae) is probably composed of chitin-Iike substance. Chitinase isolated from Streptomyces griseus is able to split covalent linkages on isolated microfibrils. On cross-sections of plastic embedded cell walls the covalent linkages are "masked " by the layer of amorphous polysaccharides. The presence of cellulose in the cell wall can not be e...

Journal: :Australian Prescriber 2012

Journal: :Informatik aktuell 2021

Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algorithms are promising solution improve tumour prognostication. Pathologists the gold standard database development, however, labelling errors may hamper development accurate algorithms. In present work we evaluated bene...

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