Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
SPIRO is a Smart Plate Imaging Robot
🦴 Playground demonstrating the radon transform
Comprehensive pipeline for cell segmentation, tracking, and correlation analysis in time-lapse microscopy data. Utilizes deep learning models (Cellpose) for segmentation, with integrated refinement, tracking, and correlation analysis of dynamic cellular behaviors. Developed as part of a Master’s thesis project at KTH Royal Institute of Technology.
Lecture Materials and many embedded exercises (ImageJ, UCSF Chimera, X3DOM, Three.js)
Production-grade multimodal deep learning for biological imaging and spatial transcriptomics, with reproducible data ingestion, image quality control, segmentation, phenotype classification, uncertainty estimation, and transcriptomic interpretation.