Capillary and blood flow analytic technology is being developed by researchers at Swinburne University’s Iverson Health Innovation Research Institute (Melbourne, Australia) focusing on image processing techniques that will support automatic measurement of features such as capillary density, vascular branching and branching fractals, as well as assessing blood flow. By developing algorithms that accurately and automatically provide such quantitative measures, these researchers  hope to provide software that can help assess adult cardiac patients. 

Our interest is in how this developing technology might be onboarded into the Congestive Heart Failure platform we are developing. Moreover, we are interested in whether this technology has any applicability to retinal imaging that reflects systemic vascular and metabolic conditions in patients, particularly in the age range of 18 to 35. The overarching question is whether we can determine when the earliest changes in ocular-vascular conditions occur, and if so,  what early management programs can be designed to slow the process.