Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on July 24, 2018

CIBC Seminar

Elise Morgan, Professor (ME, MSE, BME) Associate Chair for Graduate Programs BU College of Engineering Presents:

Weak Links Aren’t Always Weak: The Mechanics of Spine Fractures

July 24, 2018 at 1:00pm for 1hr
Newpark Resort, Park City


Spine fractures are the hallmark of osteoporosis, affecting one in three women and one in five men over the age of 50. Yet how these fractures occur and what factors affect the likelihood of fracture remain poorly understood. Our laboratory has developed an experimental method for 3-D, quantitative visualization of the initiation and progression of spine fractures. This method is

based on volumetric digital image correlation (VDIC; or digital volume correlation (DVC)) and is suitable for quantifying the highly non-uniform deformation fields—both throughout the interior of the bone and on bone surface—that occur during failure. By employing this method in our laboratory studies, we have been able to identify microstructural and anatomical features that are associated with initiation and propagation of failure. Interestingly, a characteristic length is observed in the deformations which is dependent on age- and disease-related changes in microstructure and material properties. These results provide a strong biomechanical rationale for one of the clinical methods used to screen for vertebral fracture; however, they also counter pervasive assumptions that regions of low density in the vertebra are the "weak links" and fail first. Through comparison of our experimental measurements to clinically translatable, image-based finite element modeling, this work charts a clear path towards obtaining accurate, patient-specific predictions of fracture risk in the spine

Posted by: Nathan Galli