Software tools for automated transmission electron microscopy
Py-EM and SerialEM enable automated microscope control for high-throughput data acquisition in diverse transmission electron microscopy imaging experiments.
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
13 May 2019
|
| In: |
Nature methods
Year: 2019, Volume: 16, Issue: 6, Pages: 471-477 |
| ISSN: | 1548-7105 |
| DOI: | 10.1038/s41592-019-0396-9 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1038/s41592-019-0396-9 Verlag, Volltext: https://www.nature.com/articles/s41592-019-0396-9 |
| Author Notes: | Martin Schorb, Isabella Haberbosch, Wim J.H. Hagen, Yannick Schwab, David N. Mastronarde |
| Summary: | Py-EM and SerialEM enable automated microscope control for high-throughput data acquisition in diverse transmission electron microscopy imaging experiments. |
|---|---|
| Item Description: | Gesehen am 25.06.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1548-7105 |
| DOI: | 10.1038/s41592-019-0396-9 |