Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images

This video program is a part of the Premium package:

Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images


  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images

0 views
  • Share
Recent advancements in biomedical imaging focus on fluorescent imaging using laser scanning confocal microscopy. However, high-resolution imaging of cellular activity remains considerably expensive for both in vitro and in vivo model. In this context, integration of mathematical modeling and imaging data analysis to predict the cellular activity may aid understanding of cell signaling. Here we performed dynamic imaging using confocal microscopy and propose a model considering cell to cell connectivity that can predict the effect of drug on Ca2+ oscillations. The proposed model consists of large number of ordinary differential (ODE) equations and uses the concept of adjoint matrix containing coupling factors to capture the activity of cells with random arrangement. The results show that the cell-to-cell connection plays a crucial role in controlling the calcium oscillations through a diffusion-based mechanism. The present simulation tool can be used as generalized framework to generate and visualize the time-lapse videos required for in vitro drug testing for various drug doses.
Recent advancements in biomedical imaging focus on fluorescent imaging using laser scanning confocal microscopy. However, high-resolution imaging of cellular activity remains considerably expensive for both in vitro and in vivo model. In this context, integration of mathematical modeling and imaging data analysis to predict the cellular activity may aid understanding of cell signaling. Here we performed dynamic imaging using confocal microscopy and propose a model considering cell to cell connectivity that can predict the effect of drug on Ca2+ oscillations. The proposed model consists of large number of ordinary differential (ODE) equations and uses the concept of adjoint matrix containing coupling factors to capture the activity of cells with random arrangement. The results show that the cell-to-cell connection plays a crucial role in controlling the calcium oscillations through a diffusion-based mechanism. The present simulation tool can be used as generalized framework to generate and visualize the time-lapse videos required for in vitro drug testing for various drug doses.