Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis.

Minhong Zhou, Jingjing Zhao, Xinyu Chen, Zunming Zhang, Zhaoyu Lai, Ziqi Zhou, Adam de la Zerda, Yu-Hwa Lo

Abstract read

In one paragraph

Article in APL photonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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.

2 · The registry

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Minhong ZhouDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID https://orcid.org/0009-0006-4229-853X

Jingjing Zhao

Xinyu ChenDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID https://orcid.org/0000-0002-9507-5835

Zunming ZhangDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID https://orcid.org/0000-0002-1002-4036

Zhaoyu LaiDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.

Ziqi ZhouDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.

Adam de la ZerdaDepartment of Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, California 94093, USA.

Yu-Hwa LoDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID https://orcid.org/0000-0002-4102-4602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Label-free single-cell 3D imaging is essential for accurate phenotyping by minimizing perturbations to native cellular states and facilitating downstream molecular analyses. Among the available modalities, 3D forward-scattering (dark-field) imaging offers the richest subcellular details but faces challenges from strong transmitted-beam interference. We present a high-throughput 3D forward-scattering imaging flow cytometry system employing optical needle-beam illumination, linear micro-mirror arrays for axial scatter detection, and spatiotemporal deconvolution algorithms. Experimental validations with microstructures, hydrogel beads, and HEK-293 cells confirm the method's capability for robust subcellular resolution at ∼400 cells/s, enabling advanced label-free cellular diagnostics and analysis. This platform enables label-free, high-content cellular analysis and is readily adaptable to integrated cell sorting and AI-driven classification, offering broad potential for biomedical research and diagnostics.

Identifiers

PMID41394263

DOI10.1063/5.0301435

PMCPMC12700570

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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 OpenQuestion graph.