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EasyFlow is a comprehensive application designed to facilitate the analysis of experimental data in the field of biology and life sciences. Researchers and scientists can utilize EasyFlow to efficiently process and interpret data obtained from various sources, such as CellProfiler or other software platforms, enabling them to gain valuable insights into their experiments. From selecting relevant variables to visualizing data trends and conducting in-depth analyses using specialized modules, EasyFlow empowers users to streamline their data analysis workflows and make informed decisions based on robust scientific evidence. Whether it's analyzing signal intensities, cell sizes, growth heterogeneity, or polydisperse droplet characteristics, EasyFlow offers a user-friendly interface and powerful analytical tools to support researchers in their quest for discovery and innovation.
See owner's GitHub repository for more information: https://github.com/taltechloc/sw-easyflow-v1.
Sanka, I., Bartkova, S., Pata, P., Ernits, M., Meinberg, M. M., Agu, N., Aruoja, V., Smolander, O.-P., & Scheler, O. (2023). User-friendly analysis of droplet array images. Analytica Chimica Acta, 1272, 341397. https://doi.org/10.1016/j.aca.2023.341397
This application was not uploaded by the author, but through their publicly available Github repository, https://github.com/taltechloc/sw-easyflow-v1.
Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.
- Clinical Informatics