Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning
Traces from single-molecule fluorescence microscopy (SMFM) experiments exhibit photophysical artifacts that typically make analysis time-consuming. Here, the authors have developed an easily accessible software, AutoSiM, for two distinct applications of deep learning to the efficient processing of S...
| প্রধান লেখক: | , , , |
|---|---|
| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
Nature Portfolio
2020-11-01
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| মালা: | Nature Communications |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.1038/s41467-020-19673-1 |