Evidence map›Paper›PMID 41572626›Full record

ArticleBiophysical journal2026

Patch deconvolution for Fourier light-field microscopy.

Bin Fu, Caroline L Jones, Daniel Heraghty, Shengbo Yang, Caitlin O'Brien-Ball, Victoria Junghans, Haowei Yang, David Klenerman, Tuomas P J Knowles, Lucien E Weiss and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 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. Review
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

12 authors.

Bin FuYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Caroline L JonesYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Daniel HeraghtyYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Shengbo YangYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Caitlin O'Brien-BallChinese Academy of Medical Sciences (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK.
Victoria JunghansChinese Academy of Medical Sciences (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK.
Haowei YangYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
David KlenermanYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Tuomas P J KnowlesYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
Lucien E WeissDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Québec, Canada.
Ricardo A FernandesChinese Academy of Medical Sciences (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK.
Steven F LeeYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK. Electronic address: sl591@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging flow cytometry using Fourier light-field microscopy enables high-throughput three-dimensional cellular imaging, capable of capturing thousands of events per second. However, volumetric reconstruction speed remains orders of magnitude slower than the acquisition speed. The current state of art uses Richardson-Lucy algorithm, restricted to just 5-10 reconstructed events per second with GPU acceleration. This limitation hinders real-time applications such as cell sorting and thus has bottlenecked the widespread adoption of 3D imaging flow cytometry. We introduce patch deconvolution, the first training-free algorithm compatible with the Richardson-Lucy framework that significantly accelerates convergence, achieving over 100-200 reconstructions per second on standard GPUs, a 20- to 40-fold improvement over Richardson-Lucy. Validated on both simulated and experimental data sets, patch deconvolution achieves reconstruction quality comparable to Richardson-Lucy in both static and flow data. This supports rapid cell sorting based on spatial features and enables advanced applications, such as detecting rare spatial events in large cell populations, which would otherwise be indistinguishable in traditional flow cytometry.

Indexed as

Fourier AnalysisImage Processing, Computer-AssistedMicroscopyAlgorithmsAnimalsFlow CytometryImaging, Three-Dimensional

Identifiers

PMID41572626
PMCPMC13351718

What OpenQuestion holds

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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.