Dual-mode microfluidic immunostaining device for diagnostic biomarkers detection and tumor microenvironment evaluation

The limited availability of tissue samples from rare tumors poses a major barrier to advances in precise diagnosis, prognostic evaluation, and therapeutic research—challenges exemplified by primary central nervous system diffuse large B‑cell lymphoma (PCNS‑DLBCL). Here, we developed a dual-mode microfluidic immunostaining (Dumi) device, which integrates diagnostic and research workflows into a single, automated platform, reducing tissue section consumption by over 90 %. Using just 1–2 slides, it enables both regional detection of biomarkers for subtyping diagnostic (≤ 16) and construction of multiplex tumor microenvironment (TME) maps. Joint analysis of multi-region diagnostic biomarkers in the TME map indicates that tumor cell subpopulations defined by specific diagnostic biomarkers can actively shape their in situ microenvironmental niche. Dumi offers an efficient, cost-effective, and multifunctional immunostaining method, overcoming the limitations of scarce tissue resources and prov..., , # Dual-Mode Microfluidic Immunostaining Device for Diagnostic Biomarkers Detection and Tumor Microenvironment Evaluation

## Data Components

1. **tonsil-fig3.zip:** For the paired immunohistochemistry of conventional IHC (manual) and whole-chamber IHC (Dumi) in Fig. 3 of the associated article, the positive intensity values, mean background, and SBR of 23 × 48 matrices.
2. **tonsil-fig4.xlsx:** Single-cell data from multiplex immunofluorescence images derived from three tonsil sections. Each row represents a single segmented cell.
3. **PCNSL-fig6.xlsx:** Single-cell data from multiplex immunofluorescence images derived from one PCNSL section. Each row represents a single segmented cell.
4. **PCNSL-fig7.zip:** Single-cell data of multiplex immunofluorescence generated after a sequential multi-channel to whole-chamber IF staining strategy was performed on a single PCNSL slide. Each row represents a single segmented cell.
5. **registration.zip:** Paired raw images after multi-channel and ...,