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Updated: Feb 16, 2026

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles
Published on: August 7, 2016
STED-TEM Correlative Microscopy Leveraging Nanodiamonds as Intracellular Dual-Contrast Markers
Neeraj Prabhakar1,2, Markus Peurla2, Sami Koho2,3
1Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Turku, 20520, Finland.
Fluorescent nanodiamonds (FNDs) offer a novel dual-contrast labeling method for correlative microscopy. This technique enables precise image correlation between fluorescence and electron microscopy for both live and fixed cells.
Area of Science:
- Biophysics
- Microscopy
- Nanotechnology
Background:
- Correlative light and electron microscopy (CLEM) requires dual-contrast markers for accurate multimodal image registration.
- Existing labeling methods face challenges in achieving precise correlation and compatibility with various sample types.
Purpose of the Study:
- To introduce fluorescent nanodiamonds (FNDs) as versatile dual-contrast probes for CLEM.
- To demonstrate the utility of FNDs for high-resolution imaging and precise image correlation in STED/confocal and TEM.
Main Methods:
- Development and application of FNDs as fluorescent and electron-dense labels.
- Utilized SuperTomo software for automatic image registration and correlation.
- Performed correlative microscopy experiments on live cells, fixed cells, and test samples.
Main Results:
- FNDs successfully served as dual-contrast labels, enabling precise image correlation between fluorescence and TEM.
- FNDs demonstrated robustness, surviving TEM sample preparation and allowing fluorescence imaging before or after TEM.
- Successful application of FNDs in high-resolution STED/confocal and TEM correlative microscopy experiments.
Conclusions:
- Fluorescent nanodiamonds represent a novel and effective solution for dual-contrast labeling in correlative microscopy.
- FNDs facilitate accurate multimodal image registration and are compatible with diverse sample preparations and imaging workflows.
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