Evidence map›Paper›PMID 39958838›Full record

ArticleBiomedical optics express2025

Multi-modal transport of intensity diffraction tomography microscopy with an electrically tunable lens [Invited].

Zihao Zhou, Runnan Zhang, Ning Zhou, Qian Chen, Chao Zuo

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Zihao ZhouSmart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China.ORCID https://orcid.org/0009-0005-5653-6060
Runnan ZhangSmart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China.ORCID https://orcid.org/0000-0003-2996-5028
Ning ZhouSmart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China.ORCID https://orcid.org/0000-0002-7552-981X
Qian ChenJiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China.ORCID https://orcid.org/0000-0002-1909-302X
Chao ZuoSmart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China.ORCID https://orcid.org/0000-0002-1461-0032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical diffraction tomography (ODT) is an important technique for three-dimensional (3D) imaging of semi-transparent biological samples, enabling volumetric visualization of living cells, cultures, and tissues without the need for exogenous dyes. However, ODT faces significant challenges in imaging complex biological specimens due to the limited specificity of refractive index (RI) and the coupled relationship between absorption and phase in image formation. Here, we present multi-modal transport of intensity diffraction tomography (MM-TIDT), a high-speed 3D microscopy technique that integrates an electrically tunable lens with modified illumination patterns to decouple phase and absorption information. Leveraging dual illumination schemes-circular and annular apertures-MM-TIDT acquires two intensity stacks, facilitating accurate phase and absorption decoupling. Based on an alternating direction method of multipliers (ADMM) framework with total variation (TV) and non-negativity regularization, our method reconstructs multi-modal 3D distributions of fluorescence and complex RI with high accuracy and robustness. Experimental validation with fluorescent polystyrene microspheres, Spirulina specimens, and DAPI-labeled C166 cells demonstrates the multi-modal imaging capability of MM-TIDT to resolve fine structural details across diverse sample types, providing a versatile platform for exploring dynamic biological processes and intricate cellular interactions.

Identifiers

PMID39958838
PMCPMC11828454

What OpenQuestion holds

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Registered trials

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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.