Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Joanna Leng"'
Autor:
Joanna Leng, Massa Shoura, Tom C B McLeish, Alan N Real, Mariann Hardey, James McCafferty, Neil A Ranson, Sarah A Harris
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 5, p e1006958 (2019)
Improvements in technology often drive scientific discovery. Therefore, research requires sustained investment in the latest equipment and training for the researchers who are going to use it. Prioritising and administering infrastructure investment
Externí odkaz:
https://doaj.org/article/c37f61a41dd84ed2bc314456837e0e53
Publikováno v:
Current Medical Imaging Reviews. 19:874-884
Background: Cervical neural foraminal stenosis is a common and debilitating condition affecting people 40-60 years old. Although it is established that MRI is the best method of scanning the neural foramen, the question remains whether there is a rol
Autor:
Joanna Leng
Publikováno v:
Open Access Government. 38:224-225
Discussing early innovation software by example of the PERPL software Dr Joanna Leng, School of Computing, University of Leeds, UK, presents a project from the fellowship, on the PERPL (pattern extraction from relative positions of localisations) sof
Autor:
Robert Welch, Alistair Curd, Oliver G. Harlen, Stephen P. Muench, Molly S. C. Gravett, Ryan C. Cocking, Joanna Leng, Jarvellis F. Rogers, Daniel Read, Michelle Peckham, Sarah A. Harris
Rapid advances in experimental biophysical techniques are generating a wealth of information about the mechanical operation of the cellular cytoskeleton and its motors. However, each of these tools typically provides only a limited piece of a highly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ec47b38cac0095441eb0186be3d7173
Autor:
Joanna Leng
Publikováno v:
Futurum Careers.
Publikováno v:
Journal of Open Source Software. 7:4333
Autor:
Michelle Peckham, Ruth E. Hughes, Ralf Jungmann, Joanna Leng, Hari Shroff, Michelle A. Baird, Alistair Curd, Brendan Rogers, Yasuharu Takagi, Christian Tiede, Alexa J. Cleasby, Christian Sieben, Chi H. Trinh, Jonas Ries, Thomas Schlichthaerle, Suliana Manley
Publikováno v:
Nano Letters
Inferring the organization of fluorescently labeled nanosized structures from single molecule localization microscopy (SMLM) data, typically obscured by stochastic noise and background, remains challenging. To overcome this, we developed a method to
Autor:
Joanna Leng, Laila H. Al-Madhagi, Anuradha R. Pallipurath, Sven L. M. Schroeder, Shashidhara Marathae, Thokozile Kathyola, John McGinty, Christoph Rau, Sin-Yuen Chang, Kazimir Wanelik, Russell Miller, Gunjan Das, Jan Sefcik
X-ray phase contrast imaging (XPCI) of anti-solvent crystallization of lovastatin from an acetone/water solution was carried out in a concentric flow mixing device, using water as the anti-solvent. Spinodal decomposition of the solution is observed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60192c0b66614c92e4d82e3a90ff28ed
https://doi.org/10.26434/chemrxiv.12911168
https://doi.org/10.26434/chemrxiv.12911168
Autor:
Thomas Schlichthaerle, Jonas Ries, Michelle Peckham, Ruth E. Hughes, Michelle A. Baird, Alistair Curd, Christian Tiede, Yasuharu Takagi, Chi Trinh, Ralf Jungmann, Christian Sieben, Suliana Manley, Alexa J. Cleasby, Brendan Rogers, Joanna Leng, Hari Shroff
We present a method for extracting high-resolution ordered features from localisation microscopy data by analysis of relative molecular positions in 2D or 3D. This approach allows pattern recognition at sub-1% protein detection efficiencies, in large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::423497b1c06a307ac73c356bc9df8ce3
Autor:
Alan N. Real, Mariann Hardey, Sarah A. Harris, Joanna Leng, Massa J. Shoura, Neil A. Ranson, Tom McLeish, James McCafferty
Publikováno v:
PLoS Computational Biology
PLoS computational biology, 2019, Vol.15(5), pp.e1006958 [Peer Reviewed Journal]
PLoS Computational Biology, Vol 15, Iss 5, p e1006958 (2019)
PLoS computational biology, 2019, Vol.15(5), pp.e1006958 [Peer Reviewed Journal]
PLoS Computational Biology, Vol 15, Iss 5, p e1006958 (2019)
Author summary Improvements in technology often drive scientific discovery. Therefore, research requires sustained investment in the latest equipment and training for the researchers who are going to use it. Prioritising and administering infrastruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aff43eea90d724a314f31b281ce7433
https://eprints.whiterose.ac.uk/153880/1/journal.pcbi.1006958.pdf
https://eprints.whiterose.ac.uk/153880/1/journal.pcbi.1006958.pdf