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MIC-MAQ plugin training images

<p>*MIC-MAQ plugin training images*</p> <p>We provide images to train segmentation on fluorescence and brightfield images.&nbsp;</p> <p>&nbsp;</p> <p>For fluorescence:</p> <p>- 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).</p> <p>- Cyto dataset for nuclei and cell segmentation. The two fields of view are saved in a single LIF file that contains Z stack.&nbsp;</p> <p>&nbsp;</p> <p>For Brightfield:</p> <p>- Yeast dataset for cell segmentation</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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