Metadata#

Schema enums in the Metadata group. Each page documents an enum’s DataFrame column labels and descriptions.

Metadata Tag Overview#

Tag class

Includes

Use for

METADATA

Framework-populated image bookkeeping, including image names, UUIDs, file formats, image types, bit depth, and file suffixes.

Use when reading provenance emitted by PhenoTypic itself; these are not the biological metadata columns users normally supply.

ACQUISITION_METADATA

Image acquisition details, including imaging date, instrument, experimenter, resolution, and exposure time.

Use when tracking imaging batches or diagnosing acquisition effects.

CONDITION_METADATA

Media, nutrients, supplements, treatments, compounds, doses, and stress conditions applied to colonies.

Use when comparing phenotypes across growth environments or perturbations.

EXPERIMENT_METADATA

Experiment-level bookkeeping, including experiment IDs, projects, datasets, protocols, and notes.

Use when organizing outputs across projects, protocols, or datasets.

GENETIC_METADATA

Organism and genetic identity, including species, strain, genotype, background, alleles, plasmids, markers, mating type, and ploidy.

Use when grouping or filtering colonies by genetic background.

INCUBATION_METADATA

Temperature, elapsed time, time units, timepoints, day indices, generation, humidity, and atmosphere.

Use for time-course analyses and incubation-condition grouping.

PLATE_METADATA

Assay plate and physical layout, including plate IDs, batches, array density, and incubator position.

Use when grouping measurements by plate, batch, or spatial assay layout.

SAMPLE_METADATA

Sample identity and provenance, including sample IDs, replicates, clones, source plate/well, library IDs, barcodes, and controls.

Use for sample-level biological identity and for linking colonies back to source materials.