TY  - JOUR
T1  - Quantification of Ultra-Widefield Retinal Images
JF  - Retina Today
Y1  - 2014
A1  - D.E. Croft
A1  - C.C. Wykoff
A1  - D.M. Brown
A1  - van Hemert, J.
A1  - M. Verhoek
KW  - medical
KW  - retinal imaging
AB  - Advances in imaging periodically lead to dramatic changes in the diagnosis, management, and study of retinal disease. For example, the innovation and wide-spread application of fluorescein angiography and optical coherence tomography (OCT) have had tremendous impact on the management of retinal disorders.1,2 Recently, ultra-widefield (UWF) imaging has opened a new window into the retina, allowing the capture of greater than 80% of the fundus with a single shot.3 With montaging, much of the remaining retinal surface area can be captured.4,5 However, to maximize the potential of these new modalities, accurate quantification of the pathology they capture is critical.
UR  - http://www.bmctoday.net/retinatoday/pdfs/0514RT_imaging_Croft.pdf
ER  - 

TY  - JOUR
T1  - Quality control for quantitative PCR based on amplification compatibility test
JF  - Methods
Y1  - 2010
A1  - Tichopad, Ales
A1  - Tzachi Bar
A1  - Ladislav Pecen
A1  - Robert R. Kitchen
A1  - Kubista, Mikael
A1  - Michael W. Pfaffl
AB  - Quantitative qPCR is a routinely used method for the accurate quantification of nucleic acids. Yet it may generate erroneous results if the amplification process is obscured by inhibition or generation of aberrant side-products such as primer dimers. Several methods have been established to control for pre-processing performance that rely on the introduction of a co-amplified reference sequence, however there is currently no method to allow for reliable control of the amplification process without directly modifying the sample mix. Herein we present a statistical approach based on multivariate analysis of the amplification response data generated in real-time. The amplification trajectory in its most resolved and dynamic phase is fitted with a suitable model. Two parameters of this model, related to amplification efficiency, are then used for calculation of the Z-score statistics. Each studied sample is compared to a predefined reference set of reactions, typically calibration reactions. A probabilistic decision for each individual Z-score is then used to identify the majority of inhibited reactions in our experiments. We compare this approach to univariate methods using only the sample specific amplification efficiency as reporter of the compatibility. We demonstrate improved identification performance using the multivariate approach compared to the univariate approach. Finally we stress that the performance of the amplification compatibility test as a quality control procedure depends on the quality of the reference set.
PB  - Elsevier
VL  - 50
UR  - http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WN5-4Y88DBN-3&_user=10&_coverDate=04%2F30%2F2010&_alid=1247745718&_rdoc=1&_fmt=high&_orig=search&_cdi=6953&_sort=r&_docanchor=&view=c&_ct=2&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5
IS  - 4
ER  - 

TY  - JOUR
T1  - Questions considered in object-oriented software quality metrics based on Java environment
JF  - Journal of East China University of Science and Technology
Y1  - 1999
A1  - Liangxiu Han
PB  - East China University of Science and Technology
ER  -