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Sökning: WFRF:(Lilja Y)

  • Resultat 1-10 av 31
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1.
  • Lee, S. W., et al. (författare)
  • Sol-gel integrated protein microarray for high-resolution signal readout of psa (prostate specific antigen) in clinical samples
  • 2010
  • Ingår i: 14th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2010, MicroTAS 2010. - 9781618390622 ; 2, s. 800-802
  • Konferensbidrag (refereegranskat)abstract
    • In this study, we demonstrate a new protein microarray technology for highly sensitive detection of PSA (prostate caser specific antigen) in scrum samples. Using the optically active sol-gel nanocomposites, which can hold capturing probes in native and surface morphology tailored porous silicon, purified PSA (Prostate Specific Antigen) in human female serum was assessed by FlTC-antiPSA in broad dynamic range of the sandwich (1 pg/mL to Ing/mL). Additionally, we tested reverse phase assay using our developed system, which purified PSA imbedded in sol-gel and FITC labeled its counter antibody was accessed. Dynamic range was 60 fg/mL to 6ng/mL. Our concept can allow the measurement oflow amount of PSA at pg/ml range and thus, it is possible to do relative quantification for marker protein as well.
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2.
  • Alipoor, Mohammad, 1983, et al. (författare)
  • On High Order Tensor-based Diffusivity Profile Estimation
  • 2013
  • Ingår i: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - 1557-170X. - 9781457702167 ; , s. 93-96, s. 4-
  • Konferensbidrag (refereegranskat)abstract
    • Diffusion weighted magnetic resonance imaging (dMRI) is used to measure, in vivo, the self-diffusion of water molecules in biological tissues. High order tensors (HOTs) are used to model the apparent diffusion coefficient (ADC) profile at each voxel from the dMRI data. In this paper we propose: (i) A new method for estimating HOTs from dMRI data based on weighted least squares (WLS) optimization; and (ii) A new expression for computing the fractional anisotropy from a HOT that does not suffer from singularities and spurious zeros. We also present an empirical evaluation of the proposed method relative to the two existing methods based on both synthetic and real human brain dMRI data. The results show that the proposed method yields more accurate estimation than the competing methods.
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3.
  • Alipoor, Mohammad, 1983, et al. (författare)
  • Optimal Diffusion Tensor Imaging with Repeated Measurements
  • 2013
  • Ingår i: Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part I. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642408106 ; 8149, s. 687-694
  • Konferensbidrag (refereegranskat)abstract
    • Several data acquisition schemes for diffusion MRI have been proposed and explored to date for the reconstruction of the 2nd order tensor. Our main contributions in this paper are: (i) the definition of a new class of sampling schemes based on repeated measurements in every sampling point; (ii) two novel schemes belonging to this class; and (iii) a new reconstruction framework for the second scheme. We also present an evaluation, based on Monte Carlo computer simulations, of the performances of these schemes relative to known optimal sampling schemes for both 2nd and 4th order tensors. The results demonstrate that tensor estimation by the proposed sampling schemes and estimation framework is more accurate and robust.
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  • Resultat 1-10 av 31

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