Evidence map›Paper›PMID 38867778›Full record

ArticleBiomedical optics express2024

Large area robotically assisted optical coherence tomography (LARA-OCT).

Simon Lotz, Madita Göb, Sven Böttger, Linh Ha-Wissel, Jennifer Hundt, Floris Ernst, Robert Huber

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Mobile Robotic Optical Coherence Tomography System for Ophthalmic Imaging in Clinical Environments.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2025
    Article
  7. Article
  8. Review
  9. New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.Translational vision science & technology · 2025
    Review
  10. 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

7 authors.

Simon LotzInstitute of Biomedical Optics, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany.
Madita GöbInstitute of Biomedical Optics, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany.ORCID https://orcid.org/0000-0002-5992-9274
Sven BöttgerInstitute for Robotic and Cognitive Systems, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Linh Ha-WisselLübeck Institute of Experimental Dermatology, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Jennifer HundtLübeck Institute of Experimental Dermatology, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Floris ErnstInstitute for Robotic and Cognitive Systems, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Robert HuberInstitute of Biomedical Optics, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany.ORCID https://orcid.org/0000-0001-9785-6574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate large-area robotically assisted optical coherence tomography (LARA-OCT), utilizing a seven-degree-of-freedom robotic arm in conjunction with a 3.3 MHz swept-source OCT to raster scan samples of arbitrary shape. By combining multiple fields of view (FOV), LARA-OCT can probe a much larger area than conventional OCT. Also, nonplanar and curved surfaces like skin on arms and legs can be probed. The lenses in the LARA-OCT scanner with their normal FOV can have fewer aberrations and less complex optics compared to a single wide field design. This may be especially critical for high resolution scans. We directly use our fast MHz-OCT for tracking and stitching, making additional machine vision systems like cameras, positioning, tracking or navigation devices obsolete. This also eliminates the need for complex coordinate system registration between OCT and the machine vision system. We implemented a real time probe-to-surface control that maintains the probe alignment orthogonal to the sample by only using surface information from the OCT images. We present OCT data sets with volume sizes of 140 × 170 × 20 mm

Identifiers

PMID38867778
PMCPMC11166428

What OpenQuestion holds

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Registered trials

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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.