Datasets:
corentinm7
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Update README.md
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README.md
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### Source Data and annotation process
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To create this dataset of single muscle images, whole slide image of mice muscle fiber with SDH staining were taken from WT mice (1), BIN1 KO mice (10) and mutated
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### Who are the annotators?
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This dataset has several limitations (non-exhaustive list):
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- The images are from mice and thus might not be ideal to represent actual mechanism in human muscle
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- The image comes only from two mice models with mutations in two genes (BIN1,
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- Only mitochondria anomaly was considered to classify cells as "sick", other anomalies were not considered, thus control cells might present other anomalies (such as what is called "cores" in congenital myopathies for examples)
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## Additional Information
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### Source Data and annotation process
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To create this dataset of single muscle images, whole slide image of mice muscle fiber with SDH staining were taken from WT mice (1), BIN1 KO mice (10) and mutated DNM2 mice (7). Cells contained within these slides manually counted, labeled and classified in two categories: control (no anomaly) or sick (mitochondria anomaly) by two experts/annotators. Then all single muscle images were extracted from the image using CellPose to detect each individual cell’s boundaries. Resulting in 16787 images from 18 whole image slides.
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### Who are the annotators?
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This dataset has several limitations (non-exhaustive list):
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- The images are from mice and thus might not be ideal to represent actual mechanism in human muscle
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- The image comes only from two mice models with mutations in two genes (BIN1, DNM2) while congenital myopathies can be caused by a mutation in more than 35+ genes.
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- Only mitochondria anomaly was considered to classify cells as "sick", other anomalies were not considered, thus control cells might present other anomalies (such as what is called "cores" in congenital myopathies for examples)
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## Additional Information
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