einarolafsson commited on
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463: publish the segmented synthetic Invasion Assay example

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  1. README.md +9 -9
  2. spacr-example-invasion.tar +2 -2
README.md CHANGED
@@ -22,8 +22,8 @@ beside the data, so after loading, Run is the next step.
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  ## Size
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- `spacr-example-invasion.tar`: 106,915,840 bytes (107 MB), an uncompressed tar.
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- SHA-256 `881e512447079719d0465d31950bb33ed68ccc099ea7a3024e17f787fbb682d2`.
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  ## How it was generated
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@@ -31,12 +31,12 @@ SHA-256 `881e512447079719d0465d31950bb33ed68ccc099ea7a3024e17f787fbb682d2`.
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  fields with the lattice, object shapes and noise model of `spacr.qt.synthetic`
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  (seeded from well and field, so reproducible byte for byte) and writes each
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  field as the merged stack spaCR's Mask module produces: four image planes,
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- then cell, nucleus and pathogen label planes. **The label planes are the
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- objects the generator drew, not a Cellpose segmentation**: Mask with
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- Cellpose-SAM did not finish one plate row in 40 minutes on CPU, and the GPU
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- was not available. **spaCR's own Measure module** then measured every field,
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- so `measurements.db` holds measured intensities, not the generator's
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- numbers. `--segment` on the builder runs Mask instead, for a rebuild on a GPU.
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  The design is the one the Invasion tutorial's synthetic data used: a
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  staining-control column and two conditions with a known mixture of invaded
@@ -67,7 +67,7 @@ has something to get wrong.
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  - `measurements/measurements.db` -- Measure's tables (cell, nucleus,
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  pathogen, cytoplasm).
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  - `merged/` -- the 24 merged stacks: four image planes, then the cell,
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- nucleus and pathogen masks (drawn, see above).
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  - `ground_truth.csv` -- every parasite the generator drew, with its position,
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  host cell and state. Compare the module's calls against it:
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  ## Size
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+ `spacr-example-invasion.tar`: 106,885,120 bytes (107 MB), an uncompressed tar.
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+ SHA-256 `135ebf64cf3b5d7c3e77e3b64f73da9cc063bb237e0a41e13c65825ef834714b`.
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  ## How it was generated
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  fields with the lattice, object shapes and noise model of `spacr.qt.synthetic`
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  (seeded from well and field, so reproducible byte for byte) and writes each
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  field as the merged stack spaCR's Mask module produces: four image planes,
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+ then cell, nucleus and pathogen label planes. **The label planes are spaCR's own Mask output**
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+ (Cellpose-SAM on the nucleus, cell and total-parasite channels, run on a GPU
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+ with `--segment`), so they carry a real segmentation's misses and merges;
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+ `ground_truth.csv` is still the generator's list of what was drawn. **spaCR's own Measure
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+ module** then measured every field, so `measurements.db` holds measured
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+ intensities, not the generator's numbers.
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  The design is the one the Invasion tutorial's synthetic data used: a
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  staining-control column and two conditions with a known mixture of invaded
 
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  - `measurements/measurements.db` -- Measure's tables (cell, nucleus,
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  pathogen, cytoplasm).
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  - `merged/` -- the 24 merged stacks: four image planes, then the cell,
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+ nucleus and pathogen masks (segmented by Mask).
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  - `ground_truth.csv` -- every parasite the generator drew, with its position,
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  host cell and state. Compare the module's calls against it:
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spacr-example-invasion.tar CHANGED
@@ -1,3 +1,3 @@
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- size 106915840
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:135ebf64cf3b5d7c3e77e3b64f73da9cc063bb237e0a41e13c65825ef834714b
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+ size 106885120