Human Conjunctival Goblet Cell Segmentation Dataset
Phase-contrast microscopy fields of cultured human conjunctival goblet cells with semantic and instance-compatible masks.
At a glance
| Field | Value |
|---|---|
| Short name | goblet_cell_segmentation |
| Full name | Human Conjunctival Goblet Cell Segmentation Dataset |
| Primary category | cell_microscopy |
| Contained modalities | cell_microscopy |
| Tasks | segmentation, counting |
| Samples | 24 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.514 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Zenodo |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
The independent unit is 24 unpatched 2048x1536 fields with 65,108 cell instances. The release also contains 1,152 derivative 256x256 patches (75,597 counted instances because boundary cells can recur).
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download goblet_cell_segmentation --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download goblet_cell_segmentation --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('goblet_cell_segmentation')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.5281/zenodo.18642562
Source-term evidence: https://doi.org/10.5281/zenodo.18642562
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{goblet_cell_segmentation,
title = { Human Conjunctival Goblet Cell Segmentation Dataset },
note = { Fineide FA, Bair J, Utheim TP, Riegler MA, Dartt DA. Development of Human Conjunctival Goblet Cell Segmentation Datasets to Improve Quantitation. Scientific Data. 2026. doi:10.1038/s41597-026-07309-w },
year = { 2026 },
url = { https://doi.org/10.5281/zenodo.18642562 },
}
Fineide FA, Bair J, Utheim TP, Riegler MA, Dartt DA. Development of Human Conjunctival Goblet Cell Segmentation Datasets to Improve Quantitation. Scientific Data. 2026. doi:10.1038/s41597-026-07309-w
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - Apparent scope:
dataset_files - Descriptive screening label: Standard label without an explicit NC clause; not a permission finding
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.