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Due to the structure of Cellpose and DeepProfiler, there was a need to separate out the objects into two DeepProfiler projects. The two main reasons include:
Cellpose only being able to extract center x and y coordinates for one object at a time
DeepProfiler needing different box size parameters per object
Currently, only univariate tests can be performed. To be able to perform multivariate tests, the processed features will need to be merged into one single DeepProfiler data frame as to include each single cell and all of the features from the nuclei and cytoplasm coordinates.
There is a need for a linking function that can combine features per single cell (row) based on the center x and y coordinates. Essentially, if the coordinates are within a certain amount of pixels, then the two single cells from each project can be merged.
The text was updated successfully, but these errors were encountered:
Due to the structure of Cellpose and DeepProfiler, there was a need to separate out the objects into two DeepProfiler projects. The two main reasons include:
Currently, only univariate tests can be performed. To be able to perform multivariate tests, the processed features will need to be merged into one single DeepProfiler data frame as to include each single cell and all of the features from the nuclei and cytoplasm coordinates.
There is a need for a linking function that can combine features per single cell (row) based on the center x and y coordinates. Essentially, if the coordinates are within a certain amount of pixels, then the two single cells from each project can be merged.
The text was updated successfully, but these errors were encountered: