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