1,477 research outputs found
Edge detection in microscopy images using curvelets
BACKGROUND: Despite significant progress in imaging technologies, the efficient detection of edges and elongated features in images of intracellular and multicellular structures acquired using light or electron microscopy is a challenging and time consuming task in many laboratories. RESULTS: We present a novel method, based on the discrete curvelet transform, to extract a directional field from the image that indicates the location and direction of the edges. This directional field is then processed using the non-maximal suppression and thresholding steps of the Canny algorithm to trace along the edges and mark them. Optionally, the edges may then be extended along the directions given by the curvelets to provide a more connected edge map. We compare our scheme to the Canny edge detector and an edge detector based on Gabor filters, and show that our scheme performs better in detecting larger, elongated structures possibly composed of several step or ridge edges. CONCLUSION: The proposed curvelet based edge detection is a novel and competitive approach for imaging problems. We expect that the methodology and the accompanying software will facilitate and improve edge detection in images available using light or electron microscopy
Needs assessment to strengthen capacity in water and sanitation research in Africa:experiences of the African SNOWS consortium
Despite its contribution to global disease burden, diarrhoeal disease is still a relatively neglected area for research funding, especially in low-income country settings. The SNOWS consortium (Scientists Networked for Outcomes from Water and Sanitation) is funded by the Wellcome Trust under an initiative to build the necessary research skills in Africa. This paper focuses on the research training needs of the consortium as identified during the first three years of the project
A Bayesian Approach to Analyse Genetic Variation within RNA Viral Populations
The development of modern and affordable sequencing technologies has allowed the
study of viral populations to an unprecedented depth. This is of particular
interest for the study of within-host RNA viral populations, where variation due
to error-prone polymerases can lead to immune escape, antiviral resistance and
adaptation to new host species. Methods to sequence RNA virus genomes include
reverse transcription (RT) and polymerase chain reaction (PCR). RT-PCR is a
molecular biology technique widely used to amplify DNA from an RNA template. The
method itself relies on the in vitro synthesis of copy DNA from
RNA followed by multiple cycles of DNA amplification. However, this method
introduces artefactual errors that can act as confounding factors when the
sequence data are analysed. Although there are a growing number of published
studies exploring the intra- and inter-host evolutionary dynamics of RNA
viruses, the complexity of the methods used to generate sequences makes it
difficult to produce probabilistic statements about the likely sources of
observed sequence variants. This complexity is further compounded as both the
depth of sequencing and the length of the genome segment of interest increase.
Here we develop a Bayesian method to characterise and differentiate between
likely structures for the background viral population. This approach can then be
used to identify nucleotide sites that show evidence of change in the
within-host viral population structure, either over time or relative to a
reference sequence (e.g. an inoculum or another source of infection), or both,
without having to build complex evolutionary models. Identification of these
sites can help to inform the design of more focussed experiments using molecular
biology tools, such as site-directed mutagenesis, to assess the function of
specific amino acids. We illustrate the method by applying to datasets from
experimental transmission of equine influenza, and a pre-clinical vaccine trial
for HIV-1
A search for the decay modes B+/- to h+/- tau l
We present a search for the lepton flavor violating decay modes B+/- to h+/-
tau l (h= K,pi; l= e,mu) using the BaBar data sample, which corresponds to 472
million BBbar pairs. The search uses events where one B meson is fully
reconstructed in one of several hadronic final states. Using the momenta of the
reconstructed B, h, and l candidates, we are able to fully determine the tau
four-momentum. The resulting tau candidate mass is our main discriminant
against combinatorial background. We see no evidence for B+/- to h+/- tau l
decays and set a 90% confidence level upper limit on each branching fraction at
the level of a few times 10^-5.Comment: 15 pages, 7 figures, submitted to Phys. Rev.
Evidence for an excess of B -> D(*) Tau Nu decays
Based on the full BaBar data sample, we report improved measurements of the
ratios R(D(*)) = B(B -> D(*) Tau Nu)/B(B -> D(*) l Nu), where l is either e or
mu. These ratios are sensitive to new physics contributions in the form of a
charged Higgs boson. We measure R(D) = 0.440 +- 0.058 +- 0.042 and R(D*) =
0.332 +- 0.024 +- 0.018, which exceed the Standard Model expectations by 2.0
sigma and 2.7 sigma, respectively. Taken together, our results disagree with
these expectations at the 3.4 sigma level. This excess cannot be explained by a
charged Higgs boson in the type II two-Higgs-doublet model. We also report the
observation of the decay B -> D Tau Nu, with a significance of 6.8 sigma.Comment: Expanded section on systematics, text corrections, improved the
format of Figure 2 and included the effect of the change of the Tau
polarization due to the charged Higg
Search for the decay modes D^0 â e^+e^-, D^0 â ÎŒ^+ÎŒ^-, and D^0 â e^±Όâ
We present searches for the rare decay modes D^0âe^+e^-, D^0âÎŒ^+ÎŒ^-, and D^0âe^±Ό^â in continuum e^+e^-âcc events recorded by the BABAR detector in a data sample that corresponds to an integrated luminosity of 468ââfb^(-1). These decays are highly GlashowâIliopoulosâMaiani suppressed but may be enhanced in several extensions of the standard model. Our observed event yields are consistent with the expected backgrounds. An excess is seen in the D^0âÎŒ^+ÎŒ^- channel, although the observed yield is consistent with an upward background fluctuation at the 5% level. Using the FeldmanâCousins method, we set the following 90% confidence level intervals on the branching fractions: B(D^0âe^+e^-)<1.7Ă10^(-7), B(D^0âÎŒ^+ÎŒ^-) within [0.6,8.1]Ă10^(-7), and B(D^0âe^±Ό^â)<3.3Ă10^(-7)
- âŠ