Pycro-manager: open-source software for integrated microscopy hardware control and image processing
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2020
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| _version_ | 1866916118572040192 |
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| author | Pinkard, Henry Stuurman, Nico Waller, Laura |
| author_facet | Pinkard, Henry Stuurman, Nico Waller, Laura |
| contents | μManager, an open-source microscopy acquisition software, has been an essential tool for many microscopy experiments over the past 15 years, but is not easy to use for experiments in which image acquisition and analysis are closely coupled. This is because μManager libraries are written in C++ and Java, whereas image processing is increasingly carried out with data science and machine learning tools most easily accessible through the Python programming language. We present Pycro-Manager, a tool that enables rapid development of such experiments, while also providing access to the wealth of existing tools within μManager through Python. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2006_11330 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Pycro-manager: open-source software for integrated microscopy hardware control and image processing Pinkard, Henry Stuurman, Nico Waller, Laura Quantitative Methods μManager, an open-source microscopy acquisition software, has been an essential tool for many microscopy experiments over the past 15 years, but is not easy to use for experiments in which image acquisition and analysis are closely coupled. This is because μManager libraries are written in C++ and Java, whereas image processing is increasingly carried out with data science and machine learning tools most easily accessible through the Python programming language. We present Pycro-Manager, a tool that enables rapid development of such experiments, while also providing access to the wealth of existing tools within μManager through Python. |
| title | Pycro-manager: open-source software for integrated microscopy hardware control and image processing |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2006.11330 |