Evidence map›Paper›PMID 39716987›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.

Hongqiang Ma, Phuong Nguyen, Yang Liu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

3 authors.

Hongqiang MaDepartment of Bioengineering, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Phuong NguyenDepartment of Bioengineering, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Yang LiuDepartment of Bioengineering, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.ORCID https://orcid.org/0000-0002-6388-9674

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Imaging nanoscale chromatin folding in early carcinogenesisR01CA254112 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2020 to 2025
$2.2M
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer riskR01CA232593 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG, UTTAM, SHIKHAR · 2019 to 2023
$2.1M
NCI NIH HHS R01 CA232593NCI NIH HHS R01CA232593NCI NIH HHS R01 CA254112NCI NIH HHS R01CA254112NIBIB NIH HHS P41 EB031772NIBIB NIH HHS P41EB031772
6 · The paper itself

Abstract

High-resolution optical microscopy, particularly super-resolution localization microscopy, requires precise real-time drift correction to maintain constant focus at nanoscale precision during the prolonged data acquisition. Existing methods, such as fiducial marker tracking, reflection monitoring, and bright-field image correlation, each provide certain advantages but are limited in their broad applicability. In this work, a versatile and robust drift correction technique is presented for single-molecule localization-based super-resolution microscopy. It is based on the displacement analysis of bright-field image features of the specimen with oblique illumination. By leveraging the monotonic relationship between the displacement of image features and axial positions, this method can precisely measure the drift of the imaging system in real-time with sub-nanometer precision in all three dimensions, over a broad axial range, and for various samples, including those with closely matched refractive indices. The performance of this method is validated against conventional marker-assisted techniques and demonstrates its high precision in super-resolution imaging across various biological samples. This method paves the way for fully automated drift-free super-resolution imaging systems.

Indexed as

drift correctionsuper‐resolution microscopy

Identifiers

PMID39716987
PMCPMC11831467

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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.