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Discerning the cellular response using statistical discrimination of fluorescence images of membrane receptors

Rangika Munaweera, William D. O’Neill, View ORCID ProfileYing S. Hu
doi: https://doi.org/10.1101/2020.07.28.225144
Rangika Munaweera
1Department of Chemistry, University of Illinois at Chicago, Chicago, IL 60607
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William D. O’Neill
2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607
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  • For correspondence: yshu@uic.edu woneill@uic.edu
Ying S. Hu
1Department of Chemistry, University of Illinois at Chicago, Chicago, IL 60607
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  • ORCID record for Ying S. Hu
  • For correspondence: yshu@uic.edu woneill@uic.edu
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Abstract

We demonstrate a statistical modeling technique to recognize T cell responses to different external environmental conditions using membrane distributions of T cell receptors. We transformed fluorescence images of T cell receptors from each T cell into estimated model parameters of a partial differential equation. The model parameters enabled the construction of an accurate classification model using linear discrimination techniques. We further demonstrated that the technique successfully differentiated immobilized T cells on non-activating and activating surfaces. Compared to machine learning techniques, our statistical technique relies upon robust image-derived statistics and achieves effective classification with a limited sample size and a minimal computational footprint. The technique provides an effective strategy to quantitatively characterize the global distribution of membrane receptors and other intracellular proteins under various physiological and pathological conditions.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 29, 2020.
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Discerning the cellular response using statistical discrimination of fluorescence images of membrane receptors
Rangika Munaweera, William D. O’Neill, Ying S. Hu
bioRxiv 2020.07.28.225144; doi: https://doi.org/10.1101/2020.07.28.225144
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Discerning the cellular response using statistical discrimination of fluorescence images of membrane receptors
Rangika Munaweera, William D. O’Neill, Ying S. Hu
bioRxiv 2020.07.28.225144; doi: https://doi.org/10.1101/2020.07.28.225144

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