Dataset: Whole blood count, used in: "AIDeveloper: deep learning image classification in life science and beyond"

Real-time deformability cytometry (RT-DC) data of whole blood measurements.
Data was used to train and validate a neural net to perform a blood count based on brightfield images of RT-DC.

01_Model: Contains the final model as well as an AIDeveloper meta-file that allows to reproduce the training procedure. The metafile preciesely defines which dataset was used for training and which for validation as well as all parameters that were set in AIDeveloper.

The following folders contain data that was used for training (and validation):

Cambr

KIK

20190306_DextranBlood_AI_DataSet

Gs_Blood_Train

Testing data is stored on figshare:
https://figshare.com/articles/Krater_et_al_2020_Data_zip/9902636