All Outputs (2)

Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning (2023)
Journal Article
Pérez-Cota, F., Martínez-Arellano, G., La Cavera III, S., Hardiman, W., Thornton, L., Fuentes-Domínguez, R., …Clark, M. (2023). Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning. Scientific Reports, 13, Article 16228. https://doi.org/10.1038/s41598-023-42793-9

There is a consensus about the strong correlation between the elasticity of cells and tissue and their normal, dysplastic, and cancerous states. However, developments in cell mechanics have not seen significant progress in clinical applications. In t... Read More about Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.

Living cells as a biological analog of optical tweezers – a non-invasive microrheology approach (2023)
Journal Article
Hardiman, W., Clark, M., Friel, C., Huett, A., Pérez-Cota, F., Setchfield, K., …Tassieri, M. (2023). Living cells as a biological analog of optical tweezers – a non-invasive microrheology approach. Acta Biomaterialia, 166, 317-325. https://doi.org/10.1016/j.actbio.2023.04.039

Microrheology, the study of fluids on micron length-scales, promises to reveal insights into cellular biology, including mechanical biomarkers of disease and the interplay between biomechanics and cellular function. Here a minimally-invasive passive... Read More about Living cells as a biological analog of optical tweezers – a non-invasive microrheology approach.