Evidence map›Paper›PMID 42052239›Full record

ArticleResearch square2026

Efficient spatio-angular reconstruction enables high-fidelity mapping of six-dimensional structures and dynamics with polarized fluorescence microscopy.

Junyu Liu, Talon Chandler, Yue Li, Atharva Agashe, Mingzhe Wei, Yijun Su, Yicong Wu, Tobias I Baskin, Valentin Jaumouillé, Jiji Chen and 11 more

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In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

21 authors.

Junyu LiuState Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.ORCID 0000-0003-4276-9531
Talon ChandlerChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0002-3033-674X
Yue LiState Key Laboratory for Vegetation Structure, Function and Construction (VegLab), College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Atharva AgasheDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.
Mingzhe WeiState Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Yijun SuAdvanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.
Yicong WuAdvanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-8819-7527
Tobias I BaskinDepartment of Biology, University of Massachusetts, Amherst, MA, USA.ORCID 0000-0001-5189-3310
Valentin JaumouilléDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0001-6656-7833
Jiji ChenAdvanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-4426-3035
Pengcheng XuState Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Huihui YeSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China.
Wentao ZhuKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Robert S FischerCell Biology and Physiology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Vinay SwaminathanDepartment of Clinical Sciences, Lund University, Lund, Scania SE-221 00, Sweden.ORCID 0000-0002-9946-810X
Amrinder S NainDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-9757-2341
Shalin B MehtaChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0002-2542-3582
Patrick J La RiviereWhitman Center, Marine Biological Laboratory, Woods Hole, MA, USA.ORCID 0000-0003-3415-9864
Hari ShroffJanelia Research Campus, Howard Hughes Medical Institute (HHMI), Ashburn, VA, USA.ORCID 0000-0003-3613-8215
Huafeng LiuState Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Min GuoState Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.ORCID 0000-0002-2093-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding molecular orientation and density distributions is essential for unveiling biological structure and function. Polarized fluorescence microscopy (PFM) offers valuable insights into the molecular architecture of biological systems by mapping oriented fluorophores. However, existing PFM methods focus on retrieving the averaged orientation of fluorophore ensemble in voxel while struggling to uncover their comprehensive three-dimensional (3D) molecular orientation distributions, particularly in thick, densely labeled or structurally complex specimens. To overcome these limitations, we introduce the efficient generalized Richardson-Lucy (eGRL) algorithm, a robust, high fidelity computational framework for reconstructing complete 3D position and orientation (totally six dimensions, also termed spatio-angular) distributions of ensembles of fluorescent molecules from PFM data. We first statistically model the oriented fluorophores imaging process in spatio-angular hyperspace and propose an iterative maximum-likelihood based solution to the inverse problem. Then we integrate both dimensionality reduction and angular domain transformation techniques to address the computational bottleneck general in high-dimensional statistical algorithms and develop an effective processing pipeline to further mitigate the exponential memory increase required for large data. Collectively, these advances not only enhance accuracy but also the efficiency of spatio-angular image reconstruction, allowing eGRL to be deployed effectively on standard computational platforms. By applying eGRL to both simulated and experimental data, we demonstrate its versatility across different PFM implementations and improved accuracy for 3D reconstructions compared to existing methods. We use our methods to resolve biological spatio-angular structures and dynamics otherwise impossible to resolve, including the tangential alignment of actin filaments in U2OS cells, nanowire-guided cytoskeletal organization in NIH3T3 cells, rotational actin patterns in live HeLa protrusions, and membrane tension-induced anisotropy in live macrophages.

Identifiers

PMID42052239
PMCPMC13119298

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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.