Evidence map›Paper›PMID 42615266›Full record

ArticleJournal of biophotonics2026

Intensity Variance-Guided Automated Robotic Optical Coherence Tomography System for Ophthalmic Applications.

Hang Su, Jie Zhang, Maoyuan Qu, Xiru Gao, Hongqin Chen, Congyu Hu, Pengfei Song, Xingchen Ji, Yikai Su

Abstract read
In one paragraph

Article in Journal of biophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hang SuState Key Laboratory of Photonics and Communications, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0005-2761-5253
Jie ZhangClairvo (Wuxi) Medical Technology Co. Ltd., Wuxi, China.
Maoyuan QuClairvo (Wuxi) Medical Technology Co. Ltd., Wuxi, China.
Xiru GaoClairvo (Wuxi) Medical Technology Co. Ltd., Wuxi, China.
Hongqin ChenClairvo (Wuxi) Medical Technology Co. Ltd., Wuxi, China.
Congyu HuState Key Laboratory of Photonics and Communications, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
Pengfei SongDepartment of Mechatronics and Robotics, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xingchen JiState Key Laboratory of Photonics and Communications, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-0284-0818
Yikai SuState Key Laboratory of Photonics and Communications, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-1526-8187

Funding

National Natural Science Foundation of China 62341508National Natural Science Foundation of China 62405180National Natural Science Foundation of China 62575169NSFC Excellent Young Scholars Fund (Overseas)Optica Foundation Challenge Award
6 · The paper itself

Abstract

Optical coherence tomography (OCT) enables non-invasive volumetric retinal imaging. Conventional tabletop and handheld systems rely on skilled operators and patient cooperation. Mobile robot-assisted OCT (RAOCT) systems can address these challenges, but many depend on complex visual servo modules for low-latency eye tracking. We present an intensity variance-guided RAOCT system integrated on a wheeled mobile platform. The system uses one depth camera for coarse eye localization and a single pupil camera for real-time tracking. By calibrating a lookup table between image variance and distance within the near-eye region, the pupil camera provides indirect depth estimation for robotic servoing. A motorized reference arm, an electrically tunable lens, and an automated polarization controller further enable image-quality optimization. Experiments demonstrated 103.50 μm axial and 20.46 μm lateral tracking accuracy. The pupil-camera response time was 10.53 ms. Automated retinal OCT imaging was achieved, demonstrating the system's potential for point-of-care diagnostics in resource-limited environments.

Indexed as

RoboticsTomography, Optical CoherenceAutomationHumansImage Processing, Computer-Assistedimage varianceophthalmic imagingoptical coherence tomographyrobotics

Identifiers

PMID42615266
PMCPMC13487646

What Socratic holds

Textmetadata
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 Socratic graph.