Research Data Leeds Repository
Items where Author is "Peyman, Sally A."
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Dataset
Bond, Abigail and Moorhouse, Thomas and Peyman, Sally A. and Gleeson, Helen F. (2025) Dataset associated with: The Behaviour of Nematic Liquid Crystals in Chemically Patterned Millimetre-Sized Rectangular Surfaces.10 University of Leeds. [Dataset] https://doi.org/10.5518/160611
Kpeglo, Delanyo and Haddrick, Malcolm and Knowles, Margaret A. and Evans, Stephen D. and Peyman, Sally A. (2025) A Microfluidic Pancreatic Ductal Adenocarcinoma Culture Model for Evaluating Ultrasound and Microbubble Mediated Gemcitabine Delivery.12 University of Leeds. [Dataset] https://doi.org/10.5518/121813
Brown, Christa P. and Hughes, Matt D. G. and Mahmoudi, Najet and Brockwell, David J. and Coletta, P. Louise and Peyman, Sally A. and Evans, Stephen D. and Dougan, Lorna (2023) Encapsulation of Microbubbles within Folded Protein Hydrogels: Effects on the mechanical and structural properties.14 University of Leeds. [Dataset] https://doi.org/10.5518/121215
Bourn, Matthew D. and Mohajerani, Safoura Z. and Mavria, Georgia and Ingram, Nicola and Coletta, P. Louise and Evans, Stephen D. and Peyman, Sally A. (2023) "Tumour Associated Vasculature-on-a-chip for the Evaluation of Microbubble-Mediated Delivery of Targeted Liposomes" Dataset.16 University of Leeds. [Dataset] https://doi.org/10.5518/109217
Leva-Bueno, Juan and Meuskens, Ina and Linke, Dirk and Millner, Paul A. and Peyman, Sally A. (2022) Impedimetric biosensor based on extracellular matrix protein-adhesin binding.18 University of Leeds. [Dataset] https://doi.org/10.5518/116519
Abou-Saleh, Radwa H. and Armistead, Fern and Batchelor, Damien V. B. and Johnson, Benjamin and Peyman, Sally A. and Evans, Stephen D. (2021) Data associated with 'Horizon: Microfluidic Platform for the Production of Therapeutic Microbubbles and Nanobubbles'.20 University of Leeds. [Dataset] https://doi.org/10.5518/97321
Batchelor, Damien V. B. and Abou-Saleh, Radwa H. and Coletta, P. Louise and Peyman, Sally A. and McLaughlan, James R. and Evans, Stephen D. (2020) Dataset associated with "Nested-Nanobubbles for Ultrasound Triggered Drug Release".22 University of Leeds. [Dataset] https://doi.org/10.5518/78923
Armistead, Fern and Gala de Pablo, Julia and Gadêlha, Hermes and Peyman, Sally A. and Evans, Stephen D. (2020) Dataset associated with 'Physical biomarkers of disease progression: on-chip monitoring of changes in mechanobiology of colorectal cancer cells'.24 University of Leeds. [Dataset] https://doi.org/10.5518/70225
Abou-Saleh, Radwa H. and Delaney, Aileen and Ingram, Nicola and Johnson, Benjamin and Bushby, Richard J. and Peyman, Sally A. and Coletta, P. Louise and Markham, Alexander F. and Evans, Stephen D. (2020) Freeze-dried therapeutic microbubbles: stability and gas exchange.26 University of Leeds. [Dataset] https://doi.org/10.5518/78827
Bourn, Matthew D. and Batchelor, Damien V. B. and Ingram, Nicola and McLaughlan, James R. and Coletta, P. Louise and Evans, Stephen D. and Peyman, Sally A. (2020) High-throughput Microfluidics for Evaluating Microbubble Enhanced Delivery of Cancer Therapeutics in Spheroid Cultures - Dataset.28 University of Leeds. [Dataset] https://doi.org/10.5518/77729
Armistead, Fern and Gala de Pablo, Julia and Gadêlha, Hermes and Peyman, Sally A. and Evans, Stephen D. (2019) Cells under stress: An inertial-shear microfluidic determination of cell behaviour - dataset.30 University of Leeds. [Dataset] https://doi.org/10.5518/39731
Gala de Pablo, Julia and Armistead, Fern and Peyman, Sally A. and Bonthron, David and Lones, Michael and Smith, Stephen and Evans, Stephen D. (2018) Dataset associated with 'Biochemical fingerprint of colorectal cancer cell lines using label-free live single-cell Raman spectroscopy'.32 University of Leeds. [Dataset] https://doi.org/10.5518/20533
Mico, Victoria and Charalambous, Antonia and Peyman, Sally A. and Abou-Saleh, Radwa H. and Markham, Alexander F. and Coletta, P. Louise and Evans, Stephen D. (2017) Dataset for 'Evaluation of Lipid-Stabilised Tripropionin Nanodroplets as a Delivery Route for Combretastatin A4'.34 University of Leeds. [Dataset] https://doi.org/10.5518/9835
Peyman, Sally A. (2016) Data associated with 'On-chip preparation of nanoscale contrast agents toward high-resolution ultrasound imaging'.36 University of Leeds. [Dataset] https://doi.org/10.5518/3337
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- 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/Atom/Peyman=3ASally_A=2E=3A=3A.xml
- 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/Atom/Peyman=3ASally_A=2E=3A=3A.xml
- 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS/Peyman=3ASally_A=2E=3A=3A.rss
- 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS/Peyman=3ASally_A=2E=3A=3A.rss
- 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS2/Peyman=3ASally_A=2E=3A=3A.xml
- 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS2/Peyman=3ASally_A=2E=3A=3A.xml
- 9. Peyman=3ASally_A=2E=3A=3A.default.html
- 10. https://archive.researchdata.leeds.ac.uk/1403/
- 11. https://doi.org/10.5518/1606
- 12. https://archive.researchdata.leeds.ac.uk/1415/
- 13. https://doi.org/10.5518/1218
- 14. https://archive.researchdata.leeds.ac.uk/1074/
- 15. https://doi.org/10.5518/1212
- 16. https://archive.researchdata.leeds.ac.uk/1072/
- 17. https://doi.org/10.5518/1092
- 18. https://archive.researchdata.leeds.ac.uk/990/
- 19. https://doi.org/10.5518/1165
- 20. https://archive.researchdata.leeds.ac.uk/854/
- 21. https://doi.org/10.5518/973
- 22. https://archive.researchdata.leeds.ac.uk/685/
- 23. https://doi.org/10.5518/789
- 24. https://archive.researchdata.leeds.ac.uk/645/
- 25. https://doi.org/10.5518/702
- 26. https://archive.researchdata.leeds.ac.uk/800/
- 27. https://doi.org/10.5518/788
- 28. https://archive.researchdata.leeds.ac.uk/692/
- 29. https://doi.org/10.5518/777
- 30. https://archive.researchdata.leeds.ac.uk/487/
- 31. https://doi.org/10.5518/397
- 32. https://archive.researchdata.leeds.ac.uk/337/
- 33. https://doi.org/10.5518/205
- 34. https://archive.researchdata.leeds.ac.uk/148/
- 35. https://doi.org/10.5518/98
- 36. https://archive.researchdata.leeds.ac.uk/34/
- 37. https://doi.org/10.5518/33