2 papers
cs.CV2026
Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy
Mohammad Soltaninezhad, Elena Corbetta, Francisco Paez Larios +4
Cross-modality image translation offers a route to super-resolution fluorescence microscopy from low-resolution images while reducing phototoxicity and instrumentation demands. How…
cs.CV2025
Lightweight CycleGAN Models for Cross-Modality Image Transformation and Experimental Quality Assessment in Fluorescence Microscopy
Mohammad Soltaninezhad, Yashar Rouzbahani, Jhonatan Contreras +4
Lightweight deep learning models offer substantial reductions in computational cost and environmental impact, making them crucial for scientific applications. We present a lightwei…