For additional information about the Computational Lung Physiology Laboratory, Contact Us!
Report a Problem
The research methodology at the Computational Lung Physiology Laboratory (CLPL) includes the use of optical and molecular imaging, in combination with computational modeling, for mechanistic interpretation of experimental data and the use of genetically modified rodents and other animal models of human lung disease.
Learn more about projects currently underway in the Computational Lung Physiology Laboratory at the Marquette University and Medical College of Wisconsin Department of Biomedical Engineering.
The principal investigators at the CLPL have pioneered the use of imaging novel biomarkers as a means of early detection and monitoring of mechanisms and pathways involved in lung injury and disease.
The CLPL is using molecular fluorescence imaging to probe cellular function in lung cells and tissue. This approach has the potential to provide a quantitative assessment of the effect of injurious conditions on lung mitochondrial function and to evaluate the impact of therapies that target mitochondria.
To assist with interpreting the complex processes of lung function, the CLPL is using computational modeling as a framework for integrating bioenergetic data at different levels of biological organization.
The CLPL is investigating the molecular basis of hyperoxia-associated mitochondrial-fragmentation in pulmonary endothelial cells and subsequent pulmonary microvascular permeability, complications commonly associated with mechanical ventilation.