Share Email Print

Proceedings Paper

Multispectral characterisation of mesenchymal stem/stromal cells: age, cell cycle, senescence, and pluripotency
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Multispectral assessment of cell autofluorescence gives a direct window into the molecular processes occurring within those cells. This can be used to non-invasively characterise and classify various cellular properties without requiring fixation, dyes or transformation. Human mesenchymal stem/ stromal cells (MSCs) have great potential to contribute to regenerative medicine, especially with regards to autologous transplantation. However, this capacity is often limited by inherent properties of cell lines, which prevent their being sufficiently expanded after derivation for effective clinical application. The investigation of these properties requires numerous, time and labour-intensive assays. In this study we have used correlative microscopy based on multispectral images of cell autofluorescence then correlated to functional assays in order to construct multispectral signatures of numerous inherent cell characteristics. These included cell cycle status (indicating the proportion of cells undergoing cell division at a given time), cell ‘age’ (number of passages undergone, indicating capacity for further expansion), and β- galactosidase (a marker of senescence, indicating cells which can no longer divide). This study has established a single protocol, in place of multi-functional assays, to characterize the growth and differentiation capacity of hMSC lines using a non-invasive approach.

Paper Details

Date Published: 20 February 2020
PDF: 6 pages
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112510F (20 February 2020); doi: 10.1117/12.2544623
Show Author Affiliations
Jared M. Campbell, The Univ. of New South Wales (Australia)
Abbas Habibalahi, The Univ. of New South Wales (Australia)
Saabah Mahbub, The Univ. of New South Wales (Australia)
Sharon Paton, The Univ. of Adelaide (Australia)
South Australian Health & Medical Research Institute (Australia)
Stan Gronthos, The Univ. of Adelaide (Australia)
South Australian Health & Medical Research Institute (Australia)
Ewa Goldys, The Univ. of New South Wales (Australia)

Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?