--- license: mit pretty_name: spaCR example -- replication tags: - microscopy - toxoplasma - spacr size_categories: - n<1K --- # spaCR example data: replication Parasites per vacuole, for spaCR's **Replication Assay** module. Every parasite object of twelve control wells of the Toxoplasma MTOC screen, as the screen's own Mask and Measure runs segmented and measured them. Download it from inside spaCR with **Load test data...** in the Replication module, or with `spacr-download replication`. The settings file ships beside the data, so after loading, Run is the next step. ## Size `spacr-example-replication.tar`: 168,263,680 bytes (168 MB), an uncompressed tar. SHA-256 `04bacb3116e44317e4569ab51a93abf97e74cc2bbd219c9d6389872f7f8dea8f`. ## Provenance - Screen: Toxoplasma MTOC screen, plate 1 (acquired 2025-05-30, CellVoyager, 40x water). - Plate folder on the lab NAS: `/nas_mnt/data/MTOC_Screen/mtocScreen_20250530_111302/plate1`. - Wells: rows r3, r4, r5, r6, r7, r8 of columns c1, c2 (twelve wells), every field of each. - `nc` = column 1, `pc` = column 2: the screen's negative and positive control columns, labelled as the screen's own analysis settings label them. They are the controls of an MTOC-recruitment screen, not of a replication experiment, so no replication difference between them is claimed. ## Contents | table in `measurements/measurements.db` | rows | |---|---| | `pathogen` | 11,416 | | `cell` | 4,561 | Every row of the chosen wells is kept, unfiltered; nothing is resampled. Recorded paths that named the NAS were replaced by `merged/.npy`. Two merged fields, one per control column, so the objects can be inspected: - `merged/plate1_H01_17_1.npy` - `merged/plate1_G02_5_1.npy` Each is a 7-plane uint16 stack (height x width x 7): - 0 nucleus stain (the screen's nucleus_channel) - 1 the screen's measured target (its channel_of_interest) - 2 parasite stain (the screen's pathogen_channel) - 3 cell stain (the screen's cell_channel) - 4 cell mask - 5 nucleus mask - 6 pathogen mask `settings/replication_settings.csv` holds the module settings; its `src` is filled in with the download location when spaCR unpacks it. ## Notes The pathogen mask was segmented from the parasite stain (plane 2) and splits most vacuoles into their parasites, not always cleanly: the module groups parasites into vacuoles by clustering their centroids inside each host cell (`vacuole_key = spatial`), and its `non_power_of_two` bucket reports how often the result is off the 1-2-4-8-16 ladder. Read that bucket before reading the distribution. `min_parasite_area` is 400 px, the `pathogen_min_size` the screen's Measure run used; the table still holds the smaller objects, so lowering it is a real choice.