Image datasets used in the paper "Revealing invisible cell phenotypes with conditional generative modeling"
收藏资源简介:
- BBBC021_selection_128 is a selection of the BBBC021 image dataset from the Broad Bioimage Benchmarck Collection from the Broad Institute - golgi_256_subset is a subset (one plate) of the Golgi Dataset we used (which is about 3 times larger). It was generated by the Biophenics platform in Institut Curie, Paris, France - translocation_256 is the translocation Dataset we used. It was generated by the Biophenics platform in Institut Curie, Paris, France - LRKK2_256 is the Parkinson LRKK2 mutation dataset we used. It was generated by Ksilink, Strasbourg, France - smala_256 is the Malaria dataset we used. It was generated by IRD, Paris, France and acquired by the Histopathology Platform at Institut Pasteur in Paris, France.
BBBC021_selection_128 是取自美国博德研究所(Broad Institute)博德生物图像基准数据集(Broad Bioimage Benchmark Collection,BBBC)中BBBC021图像数据集的选取子集。golgi_256_subset 为我们所使用的高尔基体数据集的子数据集(仅包含单块培养板数据),该原始数据集的体量约为当前子集的3倍,由法国巴黎居里研究所的Biophenics平台生成。translocation_256 为我们所使用的易位数据集,由法国巴黎居里研究所的Biophenics平台生成。LRKK2_256 为我们所使用的帕金森病LRKK2突变数据集,由法国斯特拉斯堡的Ksilink团队生成。smala_256 为我们所使用的疟疾数据集,由法国巴黎的IRD(Institut de Recherche pour le Développement)生成,并由法国巴黎巴斯德研究所的组织病理平台完成采集。



