Monitoring cellular adhesion in blood samples is of fundamental importance, but conventional approaches may not capture the full physiological complexity of microscale flow in living contexts.
Umut Gurkan, the Wilbert J. Austin Professor of Engineering, led a team of researchers to study this topic more, writing an article published in Nature Communications.
Titled “Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow,” their article presented motion blur microscopy and machine learning-based image analysis to study cell interactions in microfluidic channels during whole blood flow by motion blur microscopy and machine learning-based image analysis.