CORDIS Project
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This project develops self-driving microscopes that utilize Machine Learning to enable real-time adaptation during imaging. By enhancing Super-Resolution Microscopy, it aims to provide non-invasive, long-duration 4D imaging of living cells, allowing unprecedented observation of nanoscale cellular processes in health an…
Most fundamental biomedical discoveries are carried by indirect observation, due to our inability to follow molecular-level cellular processes non-invasively in living samples.
There is a major need to develop the capacity to directly observe the molecular basis of cell regulation at relevant spatial and temporal scales.
My work has focused on establishing Next-Generation Super-Resolution Microscopy able to accurately describe the nanoscale structure of living-cells, beyond the capacity of conve…
UNIVERSIDADE NOVA DE LISBOA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Portugal, Lisboa
Type: Research institute
Activity type: Research Organisations
SME: No
FUNDACAO GIMM - GULBENKIAN INSTITUTE FOR MOLECULAR MEDICINE
Portugal, LISBOA
Type: Research institute
Activity type: Research Organisations
SME: No
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