ArticleNature communications2025
Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Translational Barriers and AI-Driven Challenges of Microfluidics-Enabled Wearables and Implantable Systems in Personalized Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- AI-driven dual-mode phase and label-free fluorescence imaging platform using a single-shot gabor hologram.Microsystems & nanoengineering · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The combination of quantitative phase microscopy (QPM) with imaging flow cytometry (IFC) enables label-free and multi-parameter single-cell analysis. Here, we present a simple yet powerful QPM-IFC platform, the spatial microfluidic holographic integrated (SMHI) platform, which uniquely integrates spatial hydrodynamic focusing microfluidics with digital holographic microscopy (DHM) to achieve high-fidelity single-cell QPM reconstruction without digital refocusing in 0.34 seconds, accounting for only 4.41% of the typical process ( ~ 7.71 seconds). We develop a high-dimensional phase feature hierarchy and implement a maximun-relevance and minimun-redundancy incremental feature selection (MRMR-IFS) strategy, which effectively addresses feature redundancy and constructs the optimal feature set. Consequently, a prediction accuracy of >99.9% is achieved across multiple cancer cell types, breast cancer subtypes, and blood cells, demonstrating its efficacy in analyzing highly heterogeneous cell populations. Notably, this system also exhibits high accuracy in analyzing simulated blood samples, highlighting its great potential in practical applications.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.