Evidence map›Paper›PMID 42460331›Full record

ArticleBiomedical optics express2026

Efficient double helix detection with steerable filters.

Andrew E S Barentine, Ashwin Balaji, W E Moerner

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Organization of Myosin H in the Apical Complex ofbioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andrew E S BarentineDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.ORCID https://orcid.org/0000-0002-7673-9771
Ashwin BalajiDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.ORCID https://orcid.org/0000-0002-0075-4203
W E MoernerDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.ORCID https://orcid.org/0000-0002-2830-209X

Funding

Single-Molecule Imaging for Cell Biology and Super-Resolution MicroscopyR35GM118067 · NIGMS · STANFORD UNIVERSITY · PI MOERNER, WILLIAM E · 2016 to 2025
$6.2M
NIGMS NIH HHS R35 GM118067
6 · The paper itself

Abstract

We present an efficient detection scheme for localization of double helix point-spread functions for 3D single-molecule localization microscopy or tracking. Using steerable filters, we extract both 2D position and lobe orientation (axial position) estimates using just 7 convolutions, orders of magnitude less than used in deep-learning-based approaches. We pair this detection with a fitter and implement both as a plug-in for the open source Python Microscopy Environment (PYME), which features percentile-based background subtraction, signal-to-noise-based detection thresholding, and performant parallel analysis. Our complete localization analysis pipeline achieves state-of-the-art performance with minimal user input.

Identifiers

PMID42460331
PMCPMC13372383

What OpenQuestion holds

Textmetadata
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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.