PhD student María del Carmen Ramos Álamo presented her research at SPIE Medical Imaging 2026 in Vancouver, Canada. She participated in the Student 3-Minute Poster Competition and presented during the Image Processing and AI/ML Applications track.
Her work investigates whether morphological and texture features extracted from brightfield microscopy can distinguish fibroblast and myofibroblast states without fluorescent labeling. Using foundational segmentation (Cellpose-SAM) and a machine learning pipeline, she demonstrated that routine brightfield images contain sufficient structural information to enable scalable, label-free phenotyping of fibrotic activation.
We congratulate María on representing the lab at this international conference and advancing interdisciplinary research at the intersection of imaging, AI, and bioengineering.
