Evidence map›Paper›PMID 42885812›Full record

ReviewLab on a chip2026

Three-dimensional imaging flow cytometry: current trends and future perspectives.

Xuanwen Hua, Biagio Mandracchia, Zhi Ling, Kidan Tadesse, Hajun Yoo, Jin Yan, Ho Wai Howard Lee, Shu Jia

Abstract readReview
In one paragraph

Review in Lab on a chip, 2026. 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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xuanwen HuaLaboratory for Systems Biophotonics, Georgia Institute of Technology, Atlanta, GA, USA. shu.jia@gatech.edu.ORCID http://orcid.org/0000-0002-5946-0808
Biagio MandracchiaE.T.S.I. Telecomunicación, Universidad de Valladolid, Valladolid, Spain.ORCID http://orcid.org/0000-0002-4583-4733
Zhi LingLaboratory for Systems Biophotonics, Georgia Institute of Technology, Atlanta, GA, USA. shu.jia@gatech.edu.
Kidan TadesseLaboratory for Systems Biophotonics, Georgia Institute of Technology, Atlanta, GA, USA. shu.jia@gatech.edu.
Hajun YooLaboratory for Systems Biophotonics, Georgia Institute of Technology, Atlanta, GA, USA. shu.jia@gatech.edu.ORCID http://orcid.org/0009-0007-5018-6076
Jin YanDepartment of Physics & Astronomy, University of California, Irvine, California, USA.
Ho Wai Howard LeeDepartment of Physics & Astronomy, University of California, Irvine, California, USA.ORCID http://orcid.org/0000-0003-3962-3726
Shu JiaLaboratory for Systems Biophotonics, Georgia Institute of Technology, Atlanta, GA, USA. shu.jia@gatech.edu.ORCID http://orcid.org/0000-0001-6854-7537

Funding

Toward Systems Biophotonics: Imaging Biology across High Dimensions and ScalesR35GM124846 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Shu Jia · 2017 to 2026
$4.0M
NIGMS NIH HHS R35 GM124846
6 · The paper itself

Abstract

Imaging flow cytometry (IFC) combines microscopic techniques and flow cytometry, enabling high-throughput, population-scale single-cell analysis with rich spatial detail and high molecular specificity. To date, most established IFC platforms are fundamentally built around 2D imaging, which is inherently limited in its ability to capture the complex 3D morphology, intracellular organization, and spatially distributed molecular features of single cells under flow. Driven by the growing demand for volumetric cellular information, IFC has progressively evolved from 2D imaging toward 3D imaging flow cytometry through a variety of optical and computational strategies. Existing 3D IFC approaches typically fall into scanning-based and non-scanning modalities, depending on whether volumetric information is assembled through sequential or parallel acquisition, with each paradigm offering complementary strengths in 3D imaging performance and cytometric throughput. Here, we systematically compare the underlying principles and performance characteristics of the most representative scanning-based and non-scanning 3D IFC technologies and discuss current challenges and future opportunities to advance volumetric cytometric analysis in biomedical and translational research.

Identifiers

PMID42885812
PMCPMC13673952

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.