Machine learning for cluster analysis of localization microscopy data
oleh: David J. Williamson, Garth L. Burn, Sabrina Simoncelli, Juliette Griffié, Ruby Peters, Daniel M. Davis, Dylan M. Owen
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-03-01 |
Deskripsi
The characterization of clusters in single-molecule microscopy data is vital to reconstruct emerging spatial patterns. Here, the authors present a fast and accurate machine-learning approach to clustering, to address the issues related to the size of the data and to sample heterogeneity.