D J Holland

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi request reprint Time-of-flight variant to image mixing of granular media in a 3D fluidized bed
    D J Holland
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge, UK
    J Magn Reson 187:199-204. 2007
  2. doi request reprint Less is more: how compressed sensing is transforming metrology in chemistry
    Daniel J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB2 3RA UK
    Angew Chem Int Ed Engl 53:13330-40. 2014
  3. ncbi request reprint Grain sizing in porous media using Bayesian magnetic resonance
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, United Kingdom
    Phys Rev Lett 110:018001. 2013
  4. doi request reprint A Bayesian approach to characterising multi-phase flows using magnetic resonance: application to bubble flows
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, United Kingdom
    J Magn Reson 209:83-7. 2011
  5. doi request reprint Reducing data acquisition times in phase-encoded velocity imaging using compressed sensing
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, New Museums Site, Pembroke Street, Cambridge CB23RA, United Kingdom
    J Magn Reson 203:236-46. 2010
  6. doi request reprint Determining NMR flow propagator moments in porous rocks without the influence of relaxation
    J Mitchell
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Magn Reson 193:218-25. 2008
  7. doi request reprint Compressed sensing reconstruction improves sensitivity of variable density spiral fMRI
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
    Magn Reson Med 70:1634-43. 2013
  8. doi request reprint Extending the use of Earth's Field NMR using Bayesian methodology: application to particle sizing
    J G Ross
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke St, Cambridge CB2 3RA, UK
    J Magn Reson 222:44-52. 2012
  9. doi request reprint Magnetic resonance velocity imaging of liquid and gas two-phase flow in packed beds
    M H Sankey
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Magn Reson 196:142-8. 2009
  10. ncbi request reprint Quantitative magnetic resonance imaging of urea and lysozyme in protein chromatography
    D J Holland
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Chromatogr A 1033:311-9. 2004

Collaborators

Detail Information

Publications12

  1. ncbi request reprint Time-of-flight variant to image mixing of granular media in a 3D fluidized bed
    D J Holland
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge, UK
    J Magn Reson 187:199-204. 2007
    ..The mixing pattern determined by this pulse sequence is used in conjunction with MR velocity images of the motion of the particles to provide new insight into the mechanism of solids mixing in granular systems...
  2. doi request reprint Less is more: how compressed sensing is transforming metrology in chemistry
    Daniel J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB2 3RA UK
    Angew Chem Int Ed Engl 53:13330-40. 2014
    ..In this Minireview, we summarize these applications and provide an outlook on how the principles of compressed sensing are leading to entirely new approaches to measurement throughout the physical and life sciences. ..
  3. ncbi request reprint Grain sizing in porous media using Bayesian magnetic resonance
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, United Kingdom
    Phys Rev Lett 110:018001. 2013
    ..A pore size distribution is then calculated from the measured grain size distribution using a Monte Carlo approach. We demonstrate this general technique with specific examples of water-saturated rock cores...
  4. doi request reprint A Bayesian approach to characterising multi-phase flows using magnetic resonance: application to bubble flows
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, United Kingdom
    J Magn Reson 209:83-7. 2011
    ..The MR approach is compared with an optical technique at a low gas fraction (∼2%), before being applied to a system where the gas fraction is too high for optical measurements (∼15%)...
  5. doi request reprint Reducing data acquisition times in phase-encoded velocity imaging using compressed sensing
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, New Museums Site, Pembroke Street, Cambridge CB23RA, United Kingdom
    J Magn Reson 203:236-46. 2010
    ..Images at this spatial resolution are prohibitively time-consuming to acquire using full k-space sampling techniques...
  6. doi request reprint Determining NMR flow propagator moments in porous rocks without the influence of relaxation
    J Mitchell
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Magn Reson 193:218-25. 2008
    ..The higher order moments of the propagators determined by this method indicate those obtained previously using a correction were overestimated...
  7. doi request reprint Compressed sensing reconstruction improves sensitivity of variable density spiral fMRI
    D J Holland
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
    Magn Reson Med 70:1634-43. 2013
    ..This study explored whether fMRI sensitivity can be improved through the use of compressed sensing (CS) reconstruction of variable density spiral fMRI...
  8. doi request reprint Extending the use of Earth's Field NMR using Bayesian methodology: application to particle sizing
    J G Ross
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke St, Cambridge CB2 3RA, UK
    J Magn Reson 222:44-52. 2012
    ..In this example, the determination of sphere radius is found to be accurate to ±1mm. We confirm that the posterior distribution provides an accurate estimate of the uncertainty in the measurement...
  9. doi request reprint Magnetic resonance velocity imaging of liquid and gas two-phase flow in packed beds
    M H Sankey
    Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Magn Reson 196:142-8. 2009
    ....
  10. ncbi request reprint Quantitative magnetic resonance imaging of urea and lysozyme in protein chromatography
    D J Holland
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    J Chromatogr A 1033:311-9. 2004
    ..All data were accurate to within +/- 15% when compared to the known amount injected. Quantitative MRI elution profiles of both urea and lysozyme were then obtained in real-time during a desalting separation...
  11. doi request reprint 11-interval PFG pulse sequence for improved measurement of fast velocities of fluids with high diffusivity in systems with short T2(∗)
    C M Boyce
    Department of Chemical Engineering and Biotechnology, University of Cambridge, New Museums Site, Pembroke Street, Cambridge CB2 3RA, UK Electronic address
    J Magn Reson 265:67-76. 2016
    ..1 ms(-1) the measured velocity was lower than the expected velocity. The increased accuracy arose from the smaller echo time that the new pulse sequence enabled, reducing selective attenuation of signal from faster moving nuclei...
  12. ncbi request reprint Spatially resolved quantification of metal ion concentration in a biofilm-mediated ion exchanger
    D A Graf von der Schulenburg
    Department of Chemical Engineering, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
    Biotechnol Bioeng 99:821-9. 2008
    ..To the best of our knowledge, our results represent the first concentration maps describing the bioremediation of metal ion contaminated water...