3 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
Global-to-local image quality assessment in optical microscopy via fast and robust deep learning predictions
Elena Corbetta, Thomas Bocklitz
Optical microscopy is one of the most widely used techniques in research studies for life sciences and biomedicine. These applications require reliable experimental pipelines to ex…
q-bio.QM2025
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy
Elena Corbetta, Thomas Bocklitz
Optical microscopy contributes to the ever-increasing progress in biological and biomedical studies, as it allows the implementation of minimally invasive experimental pipelines to…