Dataset: 5D imaging of freezing emulsions with solute effects

In this functions folder, you need to put the detect peak script which you can find here nbviewer.jupyter.org/github/demotu/BMC/blob/master/notebooks/DetectPeaks.ipynb - "data": put the data here The dataset consists in image stacks (8.7Gb total). For each interface velocity, we have two sequences: one with the fluorescent channel of the liquid (filename ends with "-solute"), and a second one with the fluorescent channel of the droplet.

We analyse both sequences separately in the code. We tested the following interface velocities: 1, 2, 3, 4, 5, 6, 8, and 10 microns/s, for a temperature gradient of 5°C/mm. When you start the notebook, another directory ("Results") will be created, and all the .csv files and figures generated will be saved there.

We are not Python experts, but the code runs relatively fast. The whole analysis for one sequence runs in a few minutes on a 2016 MacBook Pro (3,3 GHz Intel Core i7). We still work actively on the code to improve it, so any feedback and suggestions are warmly welcome.

Please keep in touch with us if you want to discuss anything. -Sylvain Deville Laboratoire de Synthèse et Fonctionnalisation des Céramiques, Cavaillon, France Email: sylvain.deville@saint-gobain.com, also on twitter @DevilleSy