Evidence map›Paper›PMID 40603600›Full record

ArticleNpj imaging2025

Fast and label-free 3D virtual H&E histology via active phase modulation-assisted dynamic full-field OCT.

Zichen Yin, Bin He, Yuzhe Ying, Shuwei Zhang, Panqi Yang, Zhengyu Chen, Zhangwei Hu, Yejiong Shi, Ruizhi Xue, Chengming Wang and 3 more

Abstract read
In one paragraph

Article in Npj imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Virtual histology imaging of lymph nodesCancer biology & medicine · 2026
    Observational
  3. Review
  4. Article
  5. Frontiers in nutrition · 2026
    Article
  6. Article
  7. 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

13 authors.

Zichen Yin *State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Bin He *State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Yuzhe YingDepartment of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine and Institute of Precision Medicine, Tsinghua University, Beijing, China.
Shuwei ZhangBreast Center, Peking University People's Hospital, Beijing, China.
Panqi YangState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Zhengyu ChenState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Zhangwei HuState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Yejiong ShiState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Ruizhi XueState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Chengming WangState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China.
Shu WangBreast Center, Peking University People's Hospital, Beijing, China. shuwang@pkuph.edu.cn.
Guihuai WangDepartment of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine and Institute of Precision Medicine, Tsinghua University, Beijing, China. youngneurosurgeon@163.com.
Ping XueState Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China. xuep@tsinghua.edu.cn.

Funding

Beijing Municipal Science and Technology Project Z201100005520081Beijing Natural Science Foundation L246072National Key Research and Development Program of China 2024YFC3405300National Natural Science Foundation of China 61905015National Natural Science Foundation of China 82372629
6 · The paper itself

Abstract

Pathological features are the gold standard for tumor diagnosis, guiding treatment and prognosis. However, the standard histopathological process is labor-intensive and time-consuming. Although frozen sections offer a quicker alternative, they often induce severe artifacts and suffer from lower accuracy. Dynamic full-field optical coherence tomography (D-FFOCT) is an innovative optical imaging technique that provides rapid histological information by utilizing subcellular dynamics as an intrinsic source of contrast. Despite its advantages, D-FFOCT images of adjacent tissues frequently exhibit abrupt shifts in hue and brightness, which is confusing for pathologists and diminishes its interpretability and reliability. Here, we present an active phase modulation-assisted D-FFOCT (APMD-FFOCT) to improve the imaging stability and achieve continuity and consistency in image stitching, which also enhances the image contrast of tissues with low metabolic dynamics. This enables us to further employ an unsupervised generative adversarial network to convert APMD-FFOCT images into virtual hematoxylin and eosin (H&E) stained images for the first time. Three-dimensional (3D) virtual H&E-stained images can be obtained at a scanning rate of 1 frame per second. Furthermore, we also demonstrate that this novel technique has been successfully applied in cancer diagnosis for the human central nervous system and breast, which proves that this new method will play a new unique and important role in intraoperative histology.

Identifiers

PMID40603600
PMCPMC12118749

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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.