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doi: 10.5281/zenodo.4733090 , 10.5281/zenodo.6802801 , 10.5281/zenodo.6366740 , 10.5281/zenodo.13255152 , 10.5281/zenodo.5115648 , 10.5281/zenodo.7616161 , 10.5281/zenodo.12544366 , 10.5281/zenodo.8028374 , 10.5281/zenodo.4604494 , 10.5281/zenodo.12544438 , 10.5281/zenodo.5509791 , 10.5281/zenodo.4604495 , 10.5281/zenodo.13255124 , 10.5281/zenodo.7078957 , 10.5281/zenodo.4662605 , 10.5281/zenodo.8239822 , 10.5281/zenodo.18415943 , 10.5281/zenodo.18415846 , 10.5281/zenodo.18415813 , 10.5281/zenodo.18415750 , 10.5281/zenodo.18415879
doi: 10.5281/zenodo.4733090 , 10.5281/zenodo.6802801 , 10.5281/zenodo.6366740 , 10.5281/zenodo.13255152 , 10.5281/zenodo.5115648 , 10.5281/zenodo.7616161 , 10.5281/zenodo.12544366 , 10.5281/zenodo.8028374 , 10.5281/zenodo.4604494 , 10.5281/zenodo.12544438 , 10.5281/zenodo.5509791 , 10.5281/zenodo.4604495 , 10.5281/zenodo.13255124 , 10.5281/zenodo.7078957 , 10.5281/zenodo.4662605 , 10.5281/zenodo.8239822 , 10.5281/zenodo.18415943 , 10.5281/zenodo.18415846 , 10.5281/zenodo.18415813 , 10.5281/zenodo.18415750 , 10.5281/zenodo.18415879
sdt-python is a collection of tools for analysis of fluorescence microscopy data. It contains algorithms for localization of fluorescent features in images methods for evaluation of tracking data functions to evaluate brightness data as well as multi-color data support for automated determination and correction of chromatic aberrations methods for reading and writing single molecule data in various formats handling of ROIs (both rectangular and described by arbitrary paths) methods for simulation of fluorescence microscopy images much more.
python, Microscopy, microscopy, Biophysics, Statistics and probability, fluorescence, Quantitative analysis, Software
python, Microscopy, microscopy, Biophysics, Statistics and probability, fluorescence, Quantitative analysis, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 34 | |
| downloads | 1 |

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