Evidence map›Paper›PMID 39375574›Full record

ArticleNature methods2024

POLCAM: instant molecular orientation microscopy for the life sciences.

Ezra Bruggeman, Oumeng Zhang, Lisa-Maria Needham, Markus Körbel, Sam Daly, Matthew Cheetham, Ruby Peters, Tingting Wu, Andrey S Klymchenko, Simon J Davis and 5 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Advanced optical microscopy methods forBiophysical reviews · 2025
    Review
  10. Article
  11. Article
  12. Painting rich six-dimensional pictures using polarized fluorescence microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. 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

15 authors.

Ezra BruggemanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-6100-1443
Oumeng ZhangDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0001-7318-2130
Lisa-Maria NeedhamYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Markus KörbelYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8344-8016
Sam DalyYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8559-3161
Matthew CheethamYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Ruby PetersDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
Tingting WuDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0001-5736-4962
Andrey S KlymchenkoLaboratoire de Biophotonique et Pharmacologie, Université de Strasbourg, Strasbourg, France.ORCID http://orcid.org/0000-0002-2423-830X
Simon J DavisMRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Ewa K PaluchDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4691-2323
David KlenermanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7116-6954
Matthew D LewDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-5614-3292
Kevin O'HolleranCambridge Advanced Imaging Centre, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1039-2127
Steven F LeeYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. sl591@cam.ac.uk.ORCID http://orcid.org/0000-0003-4492-5139

Funding

Six-Dimensional Single-Molecule Nanoscopy for Elucidating the Dynamic Organization of BiomoleculesR35GM124858 · NIGMS · WASHINGTON UNIVERSITY · PI Matthew D Lew · 2017 to 2026
$3.3M
Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation) ASAP-000509NIGMS NIH HHS R35 GM124858
6 · The paper itself

Abstract

Current methods for single-molecule orientation localization microscopy (SMOLM) require optical setups and algorithms that can be prohibitively slow and complex, limiting widespread adoption for biological applications. We present POLCAM, a simplified SMOLM method based on polarized detection using a polarization camera, which can be easily implemented on any wide-field fluorescence microscope. To make polarization cameras compatible with single-molecule detection, we developed theory to minimize field-of-view errors, used simulations to optimize experimental design and developed a fast algorithm based on Stokes parameter estimation that can operate over 1,000-fold faster than the state of the art, enabling near-instant determination of molecular anisotropy. To aid in the adoption of POLCAM, we developed open-source image analysis software and a website detailing hardware installation and software use. To illustrate the potential of POLCAM in the life sciences, we applied our method to study α-synuclein fibrils, the actin cytoskeleton of mammalian cells, fibroblast-like cells and the plasma membrane of live human T cells.

Indexed as

AlgorithmsSingle Molecule ImagingSoftwareActin Cytoskeletonalpha-SynucleinAnimalsBiological Science DisciplinesCell MembraneHumansImage Processing, Computer-AssistedMicroscopy, Fluorescencealpha-Synuclein

Identifiers

PMID39375574
PMCPMC11466833

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.