Alexander, Morgan R.

Image based Machine Learning for identification of macrophage subsets

Rostam, H. M., Reynolds, P. M., Alexander, M. R., Gadegaard, N., & Ghaemmaghami, A. M. (2017) · Scientific Reports

Cell Image Analysis TechniquesDigital Imaging for Blood Diseases

Cited by 196

Surface strategies for control of neuronal cell adhesion: A review

Roach, P., Parker, T., Gadegaard, N., & Alexander, M. R. (2010) · Surface Science Reports

Polymer Surface Interaction StudiesCellular Mechanics and Interactions

Cited by 180

Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces

Epa, V. C., Yang, J., Mei, Y., Hook, A. L., Langer, R., Anderson, D. G., Davies, M. C., Alexander, M. R., & Winkler, D. A. (2012) · Journal of Materials Chemistry

Machine Learning in Materials SciencePolymer Surface Interaction Studies

Cited by 55

Toward Interpretable Machine Learning Models for Materials Discovery

Mikulskis, P., Alexander, M. R., & Winkler, D. A. (2019) · Advanced Intelligent Systems

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 43

Metabolomic and Proteomic Analysis of ApoE4-Carrying H4 Neuroglioma Cells in Alzheimer’s Disease Using OrbiSIMS and LC-MS/MS

Lu, L., Kotowska, A. M., Kern, S., Fang, M., Rudd, T. R., Alexander, M. R., Scurr, D. J., & Zhu, Z. (2024) · Analytical Chemistry

Metabolomics and Mass Spectrometry StudiesAlzheimer's disease research and treatments

Cited by 15