A multispectral photonic imaging
system and associated methods are disclosed for classifying wound tissue and generating customized therapeutic wound dressings. The
system employs
wavelength-specific optical sources and integrated image sensors to capture multispectral reflectance data from a wound, enabling computational classification of distinct tissue types such as
granulation, slough, and
necrosis. A three-dimensional (3D) digital model of the wound is constructed using spatial data from depth sensors. The classified 3D wound model facilitates automated design of patient-specific dressings, featuring heterogeneous regions tailored with therapeutic compounds like
antimicrobial agents, analgesics, collagen scaffolds, and hydrogel matrices precisely aligned to corresponding tissue classifications. Additional
imaging modalities, including thermal and
ultrasound sensors, can be integrated to enhance classification accuracy and inform targeted therapeutic placement, providing a comprehensive and personalized approach to
wound management for medical and veterinary applications.