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Dataset: Mask R-CNN Based C. Elegans Detection with a DIY Microscope

<p>The dataset consists of images of C. elegans in Petri Dish that were&nbsp;captured at a frequency of 1 Hz at 3280 &times; 2464 pixels via a&nbsp; Raspberry Pi based DIY Microscope. Further details of the recording setup and the dataset can be found in the corresponding article.</p> <p>Up on use, please cite the following article&nbsp;<a href="https://doi.org/10.3390/bios11080257">https://doi.org/10.3390/bios11080257</a>&nbsp;such as:</p> <p>Fudickar, S.; Nustede, E.J.; Dreyer, E.; Bornhorst, J. Mask R-CNN Based C. Elegans Detection with a DIY Microscope.&nbsp;<em>Biosensors</em>&nbsp;<strong>2021</strong>,&nbsp;<em>11</em>, 257. https://doi.org/10.3390/bios11080257</p> <p>&nbsp;</p> <p><br> &nbsp;</p>

ShareScore

44/100

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
8

Topics