Publications

See below for a list of select publications.

• Malcolm, J. R., Physouni, O., Lacy, S., Bentley, M., Howarth, S. P., MacDonald, S., Droop, A. P., Powell, B., Wiggins, L., Brackenbury, W. J. & O’Toole, P. J. Adapting the OpenFlexure Microscope for Affordable Live-Cell Imaging. bioRxiv 2026.02.02.703252; https://doi.org/10.64898/2026.02.02.703252

• Wiggins, L., Malcolm, J. R., Hogg, K., O’Toole, P. J., Wilson, J. & Brackenbury, W. J.. Characterising cancer-stroma interactions through high-content phenotyping from microscopy time-lapses. bioRxiv 2025.10.02.680037; https://doi.org/10.1101/2025.10.02.680037

• Wiggins, L., Lacy, S., Park, G., Marrison, J., Powell, B., Cimini, B., O’Toole, P., Wilson, J., & Brackenbury, W. J. (2025). CellPhePy: A python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos. Journal of Microscopy, 300, 250–259. https://doi.org/10.1111/jmi.13416

• Malcolm, J., Lacy, S., Papaleo, A., Liu, L., Hamidu Kwairanga, S., Park, G., Marrison, J., Kasprowicz, R., Hallbrook, K., Williams, R., Miranda, K., Chew, T.-L., Jacobs, C., Maina, M. B., Lima, A. P., Mottram, J., Cimini, B., Powell, B., Wiggins, L., … Brackenbury, W. (2025). Removing barriers to advanced imaging and machine learning-based analysis. Zenodo. https://doi.org/10.5281/zenodo.17338726

• Wiggins, L., O’Toole, P.J., Brackenbury, W.J. and Wilson, J. (2025), Exploring the Impact of Variability in Cell Segmentation and Tracking Approaches. Microsc Res Tech, 88: 716-731. https://doi.org/10.1002/jemt.24715

• Wiggins, L., Lord, A., Murphy, K.L. et al. The CellPhe toolkit for cell phenotyping using time-lapse imaging and pattern recognition. Nat Commun 14, 1854 (2023). https://doi.org/10.1038/s41467-023-37447-3