Integrated quantification based on confocal imaging: Cell crowding modulates heterogeneity in GPCR-mediated calcium oscillation

Joseph, Jophin G. and Nanda, S. and Jana, Soumya and Giri, Lopamudra and et al, . (2016) Integrated quantification based on confocal imaging: Cell crowding modulates heterogeneity in GPCR-mediated calcium oscillation. In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 16-20 August 2016, Orlando, FL, USA.

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Abstract

Results from single cell imaging, facilitated by high resolution microscopy, have demonstrated cell-to-cell variability within the same cell population in contexts ranging from cell growth to cell migration. Recent studies suggest that such variability conveys important information about diseased states. However, manual analysis and interpretation of heterogeneous calcium oscillation based on time-lapsed images, as practiced today, is tedious, and essentially infeasible for large datasets. As a practical alternative, we present an integrated platform that includes calcium imaging using confocal microscope, algorithmic cell segmentation, and statistical analysis. Automated quantification of cell crowding via cell segmentation and statistical analysis of cell-to-cell variability on a representative dataset indicates that the heterogeneity in GPCR (G-protein coupled receptor) mediated calcium oscillation is a function of cell crowding.

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IITH Creators:
IITH CreatorsORCiD
Jana, SoumyaUNSPECIFIED
Giri, Lopamudrahttp://orcid.org/0000-0002-2352-7919
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Calcium oscillation, cell crowding, confocal microscopy, cell segmentation, Bhattacharyya distance
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 20 Jan 2020 06:36
Last Modified: 20 Jan 2020 06:36
URI: http://raiith.iith.ac.in/id/eprint/7358
Publisher URL: http://doi.org/10.1109/EMBC.2016.7591578
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