Training dataset for HeLa "Kyoto" cells under the scope

The Patches folder contains the training patches with csv files of cells 2 steps before the division and 2 steps in time after the division for 5 channels of the Kyoto Hela cells, the Oneat folder contains the json file of the cell categories and the map of XYTHW locations and its corresponding integer labels. The dataset is intended to be used for training oneat networks for these cells in different imaging modalities.

Training patches with labels for 5 channels of hela cells: trainX, trainY = 64, 64, tminus = 2, tplus = 2, whole image was normalized using percentile based normalization pre patch making process. Patches made without segmentation image as input so height and width = 1 in yolo training labels.

Made by oneat software, pip install oneat for training of such datasets.

Original data published by Romain Guiet at https://zenodo.org/record/6139958#.YmAh1NpBxhG