Data from: Multimodal segmentation analysis of subcellular responses to hypo-osmotic stimulus using combined quantitative phase imaging and FRET-based calcium sensors.

Public

  • Here we seek to expand on previous work which combined Quantitative Phase Imaging (QPI) with a molecularly sensitive F√∂rster resonance energy transfer (FRET) construct by developing additional analysis techniques. This work seeks to further characterize the mechanotransduction of individual cells in response to stimulus through a novel QPI-guided cellular segmentation algorithm. The multimodal imaging instrument and analysis techniques are employed to examine cellular responses to hypo-osmotic stimulus by observing the calcium ion flux using a FRET based sensor coupled with a mapping of intracellular mass reorganization using QPI. The combined imaging modality enables a discrimination of cell response by localized region, revealing distinct behavior between regions and relative to a control group. ... [Read More]

Total Size
5 files (14.1 GB)
Data Citation
  • Highland, R., Rancu, A., Price, H., Parker, S., Reynolds M., Hoffman, B., & Wax, A. (2024). Data from: Multimodal segmentation analysis of subcellular responses to hypo-osmotic stimulus using combined quantitative phase imaging and FRET-based calcium sensors. Duke Research Data Repository. http://doi.org/10.7924/r4tt4tp06
DOI
  • 10.7924/r4tt4tp06
Publication Date
ARK
  • ark:/87924/r4tt4tp06
Type
Related Materials
Funding Agency
  • United States Army Research Office
Grant Number
  • W911NF1910306
Title
  • Data from: Multimodal segmentation analysis of subcellular responses to hypo-osmotic stimulus using combined quantitative phase imaging and FRET-based calcium sensors.
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