Published August 28, 2023 | Version v1
Dataset Open

Machine learning-guided high throughput nanoparticle design

Description

Widefield microscopy high content images used for this study. Contains all the intermediate reports in excel result from image analysis and processing:

  • 00_Initial Dataset (DoE): contains all image data used to determine the labels for the first active learning cycle. Nano particle formulations were suggested using deisgn of experiments.
  • 01_ML_Iteration01 (Exploration): contains all image data used to determine the labels for the formulations suggested by the first active learning cycle
  • 02_ML_Iteration02 (Exploitation): contains all image data used to determine the labels for the formulations suggested by the second active learning cycle
  • 03_ML_Iteration03 (Exploration): contains all image data used to determine the labels for last (model validation) experiment. Includes the subsets of particles predicted with low and high uptake.

Files

Ortiz-Perez_2023_all_data.zip

Files (9.8 GB)

Name Size Download all
md5:58d1cac18aa4fbafd44bd97323406d0c
9.8 GB Preview Download

Additional details

Related works

Is part of
Preprint: 10.26434/chemrxiv-2023-sqb5c (DOI)

Software