Data · dataset · 2026
NSCLC-HEMIF: A large-scale paired H&E and multiplex immunofluorescence image dataset for virtual staining of the non-small cell lung cancer microenvironment
Listed in ScienceDB
NSCLC-HEMIF: A paired H&E and multiplex immunofluorescence image datasetNSCLC-HEMIF is a curated paired histopathology image dataset developed for virtual staining and cross-modal computational pathology research in the non-small cell lung cancer microenvironment.
Description
The dataset was generated from adjacent serial tissue sections stained with hematoxylin and eosin (H&E) and multiplex immunofluorescence (mIF). The mIF panel includes the nuclear counterstain DAPI and five immune markers: CD4, CD20, CD38, CD66B and FOXP3.The released dataset contains 10,000 coordinate-matched patch sets, each with a spatial resolution of 270 × 270 pixels.
Each patch set comprises eight JPG images: one H&E patch, one mIF composite patch, one DAPI patch and five marker-specific patches corresponding to CD4, CD20, CD38, CD66B and FOXP3. The files are organized into eight modality-specific folders, and identically named files across these folders represent the same tissue region from the same WSI-level chip and spatial coordinate. An accompanying metadata spreadsheet links each retained patch to its patient- and slide-level information.The data-generation workflow included whole-slide image registration, spectral unmixing, marker-wise morphological denoising, coordinate-matched patch extraction, automated effective-signal filtering using a 1.0% threshold and expert pathology-guided curation.
Read the rest (1 more)
Technical validation assessed patient-level patch distribution, H&E–mIF structural correspondence using normalized mutual information, hematoxylin–DAPI nuclear-pattern consistency and marker-wise fluorescence signal-to-noise ratios.NSCLC-HEMIF is intended to support the development and benchmarking of virtual staining, image-to-image translation and spatial immune-marker prediction methods. The paired H&E, mIF composite, DAPI and marker-specific channels may also support studies of image registration, nuclear-pattern analysis and multimodal representation learning.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.44563 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Cancer 75% · Image 75% · Oncology and carcinogenesis 74%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.44563 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |