Evidence map›Paper›PMID 40370769›Full record

ReviewJournal of the Indian Institute of Science2024

Size and Illumination Matters: Local Magnetic Actuation and Fluorescence Imaging for Microrobotics.

Juan J Huaroto, Sarthak Misra

Abstract readReview
In one paragraph

Review in Journal of the Indian Institute of Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Juan J HuarotoSurgical Robotics Laboratory, Department of Biomechanical Engineering, University of Twente, 7522 NB, Enschede, The Netherlands.
Sarthak MisraSurgical Robotics Laboratory, Department of Biomechanical Engineering, University of Twente, 7522 NB, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining local magnetic actuation with fluorescence imaging modalities promises to introduce significant advances in microrobotic-guided procedures. This review presents the advantages and challenges of this approach, emphasizing the need for careful design considerations to optimize performance and compatibility. Traditional microrobotic actuation systems rely on bulky electromagnets, which are unsuitable for clinical use due to high power requirements and limited operational workspace. In contrast, miniaturized electromagnets can be integrated into surgical instruments, offering low power consumption and high actuation forces at the target site. Fluorescence imaging modalities have been explored in microrobotics, showcasing spatiotemporal resolution and the capability to provide information from biological entities. However, limitations, such as shallow penetration depth and out-of-focus fluorescence, have motivated the development of advanced techniques such as two-photon microscopy. The potential of two-photon microscopy to overcome these limitations is highlighted, with supporting evidence from previous studies on rat tissue samples. Current challenges in optical penetration depth, temporal resolution, and field of view are also addressed in this review. While integrating miniaturized electromagnets with fluorescence imaging modalities holds the potential for microrobotic-guided procedures, ongoing research and technological advancements are essential to translating this approach into clinical practice.

Indexed as

Fluorescence imagingMicroroboticsMiniaturized electromagnetsSurgical instrumentsTwo-photon microscopy.

Identifiers

PMID40370769
PMCPMC12069155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.