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Abstract To help foster interest in science, technology, engineering, and math (STEM), it is important to develop opportunities that excite and teach young minds about STEM-related fields. Over the past several years, our university-based research group has sought to help grow excitement around the biomechanics and biomedical engineering fields. The purposes of this technical brief are to (1) discuss the development of a partnership built between a St. Louis area high school and biomechanics research lab and (2) provide practical guidance for other researchers looking to implement a long-term outreach program. The partnership uses three different outreach opportunities. The first opportunity consisted of 12th-grade students visiting university research labs for an up-close perspective of ongoing biomedical research. The second opportunity was a biomedical research showcase where research-active graduate students traveled to the high school to perform demonstrations. The third opportunity consisted of a collaborative capstone project where a high school student was able to carry out research directly in a university lab. To date, we have expanded our reach from 19 students to interacting with over 100 students, which has yielded increased interest in STEM related research. Our postprogram survey showed that outreach programs such as the one described herein can increase interest in STEM within all ages of high school students. Building partnerships between high schools and university researchers increases the interest in STEM amongst high school students, and gives graduate students an outlet to present work to an eager-to-learn audience. 

Collagen is a major structural component of nearly every tissue in the human body, whose hierarchical organization imparts specific mechanical properties and defines overall tissue function. Collagenous soft tissues are dynamic structures that are in a constant state of remodeling but are also prone to damage and pathology. Optical techniques are uniquely suited for imaging collagen in these dynamic situations as they allow for non-invasive monitoring with relatively high spatiotemporal resolution. This review presents an overview of common collagen dynamic processes associated with human health and disease and optical imaging approaches that are uniquely suited for monitoring, sensing, and diagnosing these changes. This review aims to 1) provide researchers with an understanding of the underlying optical properties of collagen that can be leveraged for extracellular matrix visualization and 2) present emerging opportunities for machine learning approaches to drive multiscale and multimodality solutions.