Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/101127
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Type: | Journal article |
Title: | Quantitative non-invasive cell characterisation and discrimination based on multispectral autofluorescence features |
Author: | Gosnell, M. Anwer, A. Mahbub, S. Menon Perinchery, S. Inglis, D. Adhikary, P. Jazayeri, J. Cahill, M. Saad, S. Pollock, C. Sutton-Mcdowall, M. Thompson, J. Goldys, E. |
Citation: | Scientific Reports, 2016; 6(1):23453-1-23453-11 |
Publisher: | Nature Publishing Group |
Issue Date: | 2016 |
ISSN: | 2045-2322 2045-2322 |
Statement of Responsibility: | Martin E. Gosnell, Ayad G. Anwer, Saabah B. Mahbub, Sandeep Menon Perinchery, David W. Inglis, Partho P. Adhikary, Jalal A. Jazayeri, Michael A. Cahill, Sonia Saad, Carol A. Pollock, Melanie L. Sutton-McDowall, Jeremy G. Thompson and Ewa M. Goldys |
Abstract: | Automated and unbiased methods of non-invasive cell monitoring able to deal with complex biological heterogeneity are fundamentally important for biology and medicine. Label-free cell imaging provides information about endogenous autofluorescent metabolites, enzymes and cofactors in cells. However extracting high content information from autofluorescence imaging has been hitherto impossible. Here, we quantitatively characterise cell populations in different tissue types, live or fixed, by using novel image processing and a simple multispectral upgrade of a wide-field fluorescence microscope. Our optimal discrimination approach enables statistical hypothesis testing and intuitive visualisations where previously undetectable differences become clearly apparent. Label-free classifications are validated by the analysis of Classification Determinant (CD) antigen expression. The versatility of our method is illustrated by detecting genetic mutations in cancer, non-invasive monitoring of CD90 expression, label-free tracking of stem cell differentiation, identifying stem cell subpopulations with varying functional characteristics, tissue diagnostics in diabetes, and assessing the condition of preimplantation embryos. |
Keywords: | Cell Line, Tumor Stem Cells Blastocyst Animals Humans Mice Pancreatic Neoplasms Diabetes Mellitus, Experimental Membrane Proteins Receptors, Progesterone Cell Differentiation Gene Expression Gene Expression Regulation Mutation Image Processing, Computer-Assisted Cell Tracking Optical Imaging Thy-1 Antigens |
Description: | Published: 31 March 2016 |
Rights: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
DOI: | 10.1038/srep23453 |
Grant ID: | CE140100003 |
Published version: | http://dx.doi.org/10.1038/srep23453 |
Appears in Collections: | Aurora harvest 3 IPAS publications |
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hdl_101127.pdf | Published version | 1.7 MB | Adobe PDF | View/Open |
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