Evidence map›Paper›PMID 42245197›Full record

ArticleJournal of biomedical optics2026

Macrophage volume analysis and real-time monitoring by digital holography.

Baodan Bai, Yanwei Lu, Geng Zhu, Feiyu Liu, Yubo Liu, Wen Wu, Dezhi Lu, Xiupin Wu

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Baodan BaiShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.
Yanwei LuShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.
Geng ZhuShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.
Feiyu LiuShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.
Yubo LiuShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.
Wen WuChongqing Medical and Pharmaceutical College, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing, China.
Dezhi LuShanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Department of Orthopaedic Surgery, Shanghai Key Laboratory of Orthopaedic Implants, Shanghai, China.
Xiupin WuShanghai University of Medicine and Health Sciences, School of Medical Instruments, Innovation Center for Intelligent Ophthalmic Technologies and Equipments, Shanghai, China.ORCID https://orcid.org/0000-0003-3696-7451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Cell volume serves as a macroscopic indicator of cellular metabolism, growth, and signal transduction. Understanding how cell volume varies across macrophage phenotypes is essential for interpreting their functional states and activation processes. Aim: We present a label-free, noninvasive method for 3D morphological characterization and volume quantification of macrophages and apply it to monitor volume variations during their biological behaviors. Approach: We employed a home-made off-axis digital holographic microscopy (DHM) system based on a Mach-Zehnder interferometric configuration to reconstruct the 3D morphology of cells. Using the mathematical relationship between the phase map and the cell thickness, we further calculated their cellular volume. Results: Our measurements show that M0 macrophages have a nearly spherical morphology with a volume of Conclusions: We demonstrate that DHM offers a powerful label-free strategy for quantifying macrophage volume and capturing the volume dynamic. It might be a potential approach for a macroscopic characterization to observe intracellular activities.

Indexed as

Cell SizeHolographyImaging, Three-DimensionalMacrophagesMicroscopyAnimalsMiceQuantitative Phase Imaging3D morphology of macrophagesdigital holographic microscopylabel-free measurement of cell volumevolume monitoring

Identifiers

PMID42245197
PMCPMC13233025

What OpenQuestion holds

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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.