Information-rich localization microscopy through machine learning
Single-molecule methods often rely on point spread functions that are tailored to interpret specific information. Here the authors use a neural network to extract complex PSF information from experimental images, and demonstrate this by classifying color and axial positions of emitters.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-10036-z |
| Summary: | Single-molecule methods often rely on point spread functions that are tailored to interpret specific information. Here the authors use a neural network to extract complex PSF information from experimental images, and demonstrate this by classifying color and axial positions of emitters. |
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| ISSN: | 2041-1723 |