Bayesian optimized parameter selection for density-based clustering applied to single molecule localization microscopy
Abstract Density-based clustering is used in many contexts including in single molecule localization microscopy (SMLM), where it is commonly used to elucidate the nanoscale organization of molecules. However, little guidance is available for evaluating clustering performance, which is often dependen...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08332-0 |
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