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Dataset card: synthetic, how it was generated, size

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+ ---
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+ license: mit
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+ pretty_name: spaCR example -- invasion (SYNTHETIC)
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+ tags:
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+ - microscopy
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+ - synthetic
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+ - spacr
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # spaCR example data: invasion -- SYNTHETIC
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+
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+ **These images are synthetic. No cell, parasite or antibody was imaged.**
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+ They exist to show spaCR's **Invasion Assay** module working end to end, and
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+ say nothing about any real invasion experiment, stain or treatment. No real
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+ two-colour differential-staining acquisition was available to publish.
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+
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+ Download it from inside spaCR with **Load test data...** in the Invasion
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+ Assay module, or with `spacr-download invasion`. The settings file ships
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+ beside the data, so after loading, Run is the next step.
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+
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+ ## Size
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+
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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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+
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+ ## How it was generated
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+
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+ `tools/build_invasion_example_dataset.py` in the spaCR repository draws the
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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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+
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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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+ and attached parasites.
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+
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+ | column | condition | outside stain |
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+ |---|---|---|
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+ | c1 | staining control | none on any parasite (the no-primary baseline) |
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+ | c2 | vehicle | 70% of parasites invaded (no outside stain) |
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+ | c3 | inhibitor | 35% of parasites invaded |
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+
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+ Rows A-D, 2 fields per well, 512x512 px, 64 host cells
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+ per field, 75% of them carrying one or two parasites. One attached parasite
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+ in ten is drawn at a quarter of the outside-stain brightness, so the threshold
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+ has something to get wrong.
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+
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+ ## Channels
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+
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+ | channel | stain | used as |
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+ |---|---|---|
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+ | 0 | nucleus | nucleus mask |
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+ | 1 | cell | cell mask |
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+ | 2 | total parasite stain (post-permeabilisation) | pathogen mask; `total_channel` |
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+ | 3 | outside parasite stain (pre-permeabilisation) | `outside_channel` |
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+
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+ ## Contents
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+
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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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+
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+ | state | parasites drawn |
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+ |---|---|
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+ | attached | 514 |
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+ | invaded | 617 |
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+ | no outside stain (staining control) | 582 |
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+
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+ - `settings/invasion_settings.csv` -- the module settings: c1 as the staining
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+ baseline, c2 vehicle, c3 inhibitor, channels 3 (outside) and 2 (total).
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+ `src` is filled in with the download location when spaCR unpacks it.