High Data Output and Automated 3D Correlative Light–Electron Microscopy Method
Author Information
Author(s): Giuseppe Vicidomini, Maria C. Gagliani, Michela Canfora, Katia Cortese, Fabio Frosi, Clara Santangelo, Pier Paolo Di Fiore, Patrizia Boccacci, Alberto Diaspro, Carlo Tacchetti
Primary Institution: Centro di Ricerca MicroSCoBiO, Università di Genova
Hypothesis
Can a new high data output CLEM method improve the analysis of subcellular structures?
Conclusion
The new HDO-CLEM method allows for simultaneous analysis of multiple events and provides high-resolution 3D reconstructions of subcellular structures.
Supporting Evidence
- The HDO-CLEM method allows for the correlation of hundreds of events simultaneously.
- It combines the high data analysis capability of fluorescence light microscopy with the precision of electron microscopy.
- Ultrathin cryosections improve the resolution and reduce out-of-focus background in imaging.
Takeaway
This study created a new way to look at tiny parts of cells using two types of microscopes at the same time, helping scientists see more details.
Methodology
The study developed a high data output CLEM method using cryosections for simultaneous fluorescence light microscopy and electron microscopy.
Limitations
The method may still face challenges with low label sensitivity and specificity.
Digital Object Identifier (DOI)
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