The mouse is the most commonly used animal model for toxicology risk assessments and tobacco smoke exposure. Because it is not possible to study every substance exposure or varying exposure conditions, mathematical models and computer simulations are employed to fill the gap or to extend the range of experimental data. However, computational toxicology is limited in its application to mouse inhalation exposure studies because of the lack of high-resolution accurate airway geometries needed for modeling and site-specific particle deposition data. By combining the unique imaging capabilities of the imaging cryomicrotome at the University of Washington with the expertise in highly-automated airway segmentation algorithms from the University of Iowa, we have developed methods to provide high-resolution 3D geometries of the four most commonly studied mice strains along with site-specific airway particle dosimetry in the same animals. The high-resolution datasets are shared through this website and can be used by other investigators to accelerate investigation of health and diseases related to the respiratory system. This will in turn improve our understanding of site-specific airflows and how they affect drug, environmental, or biological aerosol deposition in health and diseases related to occupational exposures, air pollution and tobacco smoke.
Awake mice are exposed to fluorescent aerosol particles with diameters of 0.5, 1.0 or 2.0 µm. The lungs of these mice are imaged in our imaging cryomicrotome, acquiring data at various wavelengths to isolate the aerosols and lung structure. The images are processed and algorithms used to identify the 3D airway geometry and location of aerosol deposition. The airways from the trachea to the terminal bronchi are identified, labeled and represented as a mesh. All of these data are archived on this website and made publicly available.
Reinhard R. Beichel, PhD (PI)
Christian Bauer, PhD
Robb W. Glenny, MD (PI)
Melissa Krueger, PhD
Wayne J. Lamm, MS
This work was supported in part by NIH NIEHS grant R01ES023863 (Anatomically Derived Airway Models to Facilitate Computational Toxicology in Mice).