AIMBE
Label-free, noninvasive framework enables robust, scalable classification of liposomal drug carriers
A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen pharmaceutical research and development in the areas of batch verification, encapsulation efficiency screening and regulatory compliance workflows.
Mechanical engineering professor Arezoo Ardekani and her doctoral student Kaeul Lim have leveraged hyperspectral imaging (HSI) and machine learning (ML) to develop a novel, label-free and noninvasive method to characterize nanoparticles.
The method enables robust, scalable classification of liposomal drug carriers and lipid nanoparticles… Continue reading.
