Comparison of the accuracy of digital models obtained from scans of impressions versus direct intra-oral scans

Magister Chirurgiae Dentium - MChDMeasurements and a variety of analyses of dental casts are essential for precise diagnosis of an orthodontic case. Study models have long been an essential part of orthodontic diagnosis and treatment planning. Currently virtual computerized models are available to clinicians, supplemented by dedicated software for performing needed measurements (Zilberman et al, 2003). Digital impression methods are now available and intraoral digital scanning techniques make it possible to generate study models directly from the scanning of the dentition. The aim of this study was to compare measurements taken after scanning the dental impressions to the measurements obtained from using direct intraoral scanning of the dentition. Alginate impressions of the maxillary and mandibular dentitions were taken on 20 patients and these impressions were scanned using a 3 Shape R 700 TM scanner. Direct intraoral scans of both dentitions were then performed for the same patient. Ortho analyzer TM software was used to measure the mesiodistal widths of individual teeth, and the intercanine and intermolar on digital models of the scanned impressions and digital models obtained from direct intraoral scans of the maxillary and the mandibular dentitions. The results indicated that there were no statistically significant differences between mesiodistal widths, and intercanine and intermolar distances between the two techniques (p > 0.05). Because of the high level of accuracy of the virtual measurements compared to those of the scanned impressions, it can be concluded that direct intraoral scanning of the dentition can be used with confidence in the clinical situation to measure tooth sizes and inter-arch distances for orthodontic purposes. Orthodontists commonly use models for various areas in the practice, clinical research and medico-legal documentation (Marcel, 2001

Preliminary Ground-Based Observation for the Soil Moisture Measurement Validation of ADEOS II-AMSR/AMSR-E

研究概要:AMSR-E(2002年3月打ち上げ予定)とAMSR (2002年11月打ち上げ予定)の土壌水分測定アルゴリズムの検証のために、モンゴル高原で地上検証用試験地の設定と検証のための準備観測(モニタリングと集中土壌水分・植物水分移動観測)を行った。試験地内の降雨分布および土壌水分と植物水分の分布には地域的な差異があることが分かると共に変化幅も検証に値するものであることが分かった

Total sequences metrics and preliminary classification.

<p>Total sequences metrics and preliminary classification.</p

Taxonomic classification of assemblies.

<p>Assemblies were classified based on comparison to the CAMERA database using the BLASTX algorithm and an e-value of 1×10e-5 or lower. Sequences in assemblies without significant matches to existing protein sequences (e-value>1E-5) were classified as “Unknown”. The remaining sequences were classified based on best BLASTX hits for their assemblies. Of the “known” sequences, 67% of the November sample and 70% of the June sample had homology to published viral sequences.</p

Summary of candidates disease causing and novel viruses identified in Lake Needwood.

<p>Summary of candidates disease causing and novel viruses identified in Lake Needwood.</p

Phylogenetic tree of circoviruses.

<p>A region of 90 amino at the 3′ end of the circoviruses polymerase gene was selected for sequence comparison analysis. Other sequences were downloaded from the GOS and the NCBI databases. Selected sequences were analyzed using ClustalX with default parameter settings as described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0007264#s4" target="_blank">Materials and Methods</a>. Consensus tree bootstrapping was performed with Geneious 4.0.4 using the neighbor-joining method and 1,000 samples.</p

Summary coverage of a Banna-like virus.

<p>Summary coverage of a Banna-like virus.</p

Distribution of viral reads by viral types.

<p>Names were assigned to assemblies based on the best BLASTX match. Assemblies with the same virus name were grouped together, and the numbers of reads comprising these assemblies were added to generate a reads per unique types value. Although RNA viruses were the target of this study and the best-represented in the data, DNA viruses have been included as well for comparison.</p

Comparison with other viral metagenomics data sets.

<p>Comparison with other viral metagenomics data sets.</p

RNA Viruses Families in Lake Needwood.

<p>Classified RNA viral families are listed along with seasonal and host distribution. Families were assigned to sequences based on best BLASTX matches (e-value<1e-5 or lower). Host type was assigned using viral species (not viral family) data, and is therefore not reflective of the full host range for a given viral family.</p