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Paraffin-embedded epididymal WAT sections (5 μm) were deparaffinised and processed for antigen retrieval with a 2100 Retriever using 1× DIVA solution and Hot Rinse (HistoLab Products AB, Gothenburg, Sweden).
From the eighteenth century, countries, universities, and academies maintained research libraries, whose staff pioneered information retrieval with a variety of indexing and cataloguing systems.
Tools used for the evaluation were developed for daily products as produced by the retrieval with a spatial resolution of 10 × 10 km2 (Level 2) and daily or monthly aggregates (Level 3).
Differing from the previous schemes [1 3] based on symmetric encryption, the scheme by Boneh et al. [4] is the first to address the problem of the privacy-assured text retrieval with a public key system and allows multiusers to participate.
CD45 staining was performed after antigen retrieval with a TRIS/EDTA pH 9 solution.
Specimens were processed using an automated stainer (Dako and LabVision) with Dako products and included antigen retrieval with a low (6.0) pH citrate buffer (Dako).
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Staining was performed with a polyclonal guinea pig anti-pig insulin antibody (DAKO, Insulin A0564) at 1∶100 after 20 minute citrate heat induced epitope retrieval with an HRP labeled polymer visualization kit (DAKO, EnVision+ K4010) following the manufacturer recommended staining protocol.
Heat-mediated antigen retrieval with an EDTA solution was performed to expose the antigen epitopes.
Sections from formalin-fixed, paraffin-embedded samples were incubated, after antigen retrieval, with an anti-ASGP-R monoclonal antibody revealed by secondary biotinylated antibody and streptavidin biotin peroxidase diaminobenzidine reaction.
Tissue sections were deparaffinised in xylene, subjected to heat-induced antigen retrieval with an antigen retrieval solution (DAKO) at pH 6.0 in a water bath at 98°C for 20 min, and then incubated for 60 minutes at room temperature with the monoclonal antibodies (all except versican).
Applying a sensitivity analysis on initial parameter settings of our retrieval code was proved vital for producing semi-automatized retrievals with a hybrid regularization method developed at the Institute of Mathematics of Potsdam University.
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