Published July 26, 2023 | Version 1
Dataset Open

MIC-MAQ plugin training images

Authors/Creators

  • 1. Institut Curie, Université PSL, CNRS UAR2016, Inserm US43, Université Paris-Saclay, Multimodal Imaging Center, 91400 Orsay, France

Description

*MIC-MAQ plugin training images*

We provide images to train segmentation on fluorescence and brightfield images. 

 

For fluorescence:

- QIBC dataset for nuclei segmentation and quantification (https://zenodo.org/record/8014997). The 3 channels of each field of view are saved in independant files: C1 (protein of interest, spots detection), C2 (EdU for quantification), C3 (nuclei segmentation).

- Cyto dataset for nuclei and cell segmentation. The two fields of view are saved in a single LIF file that contains Z stack. 

 

For Brightfield:

- Yeast dataset for cell segmentation

Files

MIC-MAQ training datasets.zip

Files (200.6 MB)

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