Journal Article

Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity

Su, Ping, Shi, Jiayi, Ma, Jianshe, Tan, Ying, Teng, Huijing, Di, Jianglei, Yang, Zijian, Liu, Yanping, Gao, Dan, Zhang, Ziyi

2025

Overview

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. Shi and colleagues present a spatial microfluidic holographic integrated platform for label-free, high-dimensional analysis of cancer heterogeneity, achieving very high accuracy in classifying cancer types, breast cancer subtypes, and blood cells.

• Publisher: Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
• Subject: 13/31 / 13/62 / 132/124 / 631/1647/277 / 631/1647/328/1650 / 631/67/2329 / 631/80/2373 / Accuracy / Algorithms / Artificial intelligence / Blood cells / Breast cancer / Breast Neoplasms - pathology / Cancer / Cell Line, Tumor / Classification / Dimensional analysis / Energy consumption / Female / Flow cytometry / Flow Cytometry - methods / Heterogeneity / Holography / Holography - instrumentation / Holography - methods / Humanities and Social Sciences / Humans / Labels / Machine learning / Microfluidic Analytical Techniques - instrumentation / Microfluidic Analytical Techniques - methods / Microfluidics / Microfluidics - instrumentation / Microfluidics - methods / Microscopy / Microscopy - methods / Morphology / multidisciplinary / Neoplasms - pathology / Redundancy / Science / Science (multidisciplinary) / Single-Cell Analysis - instrumentation / Single-Cell Analysis - methods / Systems stability