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Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling

Lookup NU author(s): Dr Laura WadkinORCiD, Dr Irina Makarenko, Professor Nick ParkerORCiD, Professor Anvar ShukurovORCiD, Professor Francisco FigueiredoORCiD, Professor Majlinda LakoORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2023, The Author(s).Purpose of Review: To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications. Recent Findings: hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy. Summary: Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.

Publication metadata

Author(s): Wadkin LE, Makarenko I, Parker NG, Shukurov A, Figueiredo FC, Lako M

Publication type: Review

Publication status: Published

Journal: Current Stem Cell Reports

Year: 2023

Volume: 9

Pages: 57-66

Online publication date: 18/11/2023

Acceptance date: 07/11/2023

ISSN (electronic): 2198-7866

Publisher: Springer Science and Business Media Deutschland GmbH


DOI: 10.1007/s40778-023-00229-0