MIC-MAQ plugin training images
<p>*MIC-MAQ plugin training images*</p> <p>We provide images to train segmentation on fluorescence and brightfield images. </p> <p> </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. </p> <p> </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