Downloads provided by UsageCounts
Dataset originates from: Gierten, J., Pylatiuk, C., Hammouda, O. T., Schock, C., Stegmaier, J., Wittbrodt, J., Gehrig, J. and Loosli, F. (2020). Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions. Sci Rep 10, 2046, doi:10.1038/s41598-020-58563-w. Used as benchmark dataset for Multi-Template-Matching by Thomas and Gehrig See implementation in Fiji https://github.com/LauLauThom/MultipleTemplateMatching and in KNIME https://github.com/LauLauThom/MultipleTemplateMatching-KNIME Contacts: j.gehrig(at)acquifer.de, l.thomas(at)acquifer.de, jakob.gierten(at)cos.uni-heidelberg.de
medaka, screening, microscopy, ACQUIFER, object-detection
medaka, screening, microscopy, ACQUIFER, object-detection
| 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). | 1 | |
| 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. | Average | |
| 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 | 29 | |
| downloads | 90 |

Views provided by UsageCounts
Downloads provided by UsageCounts