Evidence map›Paper›PMID 32246558›Full record

ArticleJournal of biophotonics2020

Real-time video mosaicking to guide handheld in vivo microscopy.

Chengbo Yin, Linpeng Wei, Kivanc Kose, Adam K Glaser, Gary Peterson, Milind Rajadhyaksha, Jonathan T C Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Chengbo YinDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Linpeng WeiDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Kivanc KoseDermatology Service, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Adam K GlaserDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Gary PetersonDermatology Service, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Milind RajadhyakshaDermatology Service, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Jonathan T C LiuDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
University of Washington · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Line-scanned MEMS-based dual-axis confocal microscopy to detect oral lesions in vR01DE023497 · NIDCR · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2012 to 2014
$2.4M
Sensitivity and specificity of line-scanning versus point-scanning reflectance confocal microscopy for detecting melanocytic skin lesions in vivoR01CA201399 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI FOX, WILLIAM J., RAJADHYAKSHA, MILIND · 2016 to 2019
$2.1M
Intraoperative confocal microscopy for quantitative delineation of low-grade glioR01CA175391 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C., SANAI, NADER · 2014 to 2018
$1.7M
Light-sheet micro-aspiration microscopy for the isolation and analysis of rare tumor cells from intact clinical specimensK99CA240681 · NCI · UNIVERSITY OF WASHINGTON · PI GLASER, ADAM K · 2019 to 2020
$316k
NCI NIH HHS K99 CA240681NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA175391NCI NIH HHS R01 CA201399NIDCR NIH HHS R01 DE023497
6 · The paper itself

Abstract

Handheld and endoscopic optical-sectioning microscopes are being developed for noninvasive screening and intraoperative consultation. Imaging a large extent of tissue is often desired, but miniature in vivo microscopes tend to suffer from limited fields of view. To extend the imaging field during clinical use, we have developed a real-time video mosaicking method, which allows users to efficiently survey larger areas of tissue. Here, we modified a previous post-processing mosaicking method so that real-time mosaicking is possible at >30 frames/second when using a device that outputs images that are 400 × 400 pixels in size. Unlike other real-time mosaicking methods, our strategy can accommodate image rotations and deformations that often occur during clinical use of a handheld microscope. We perform a feasibility study to demonstrate that the use of real-time mosaicking is necessary to enable efficient sampling of a desired imaging field when using a handheld dual-axis confocal microscope.

Indexed as

Intravital MicroscopyMicroscopyEndoscopyMicroscopy, Confocalconfocal microscopymedical and biological imagingoptical microelectromechanical devicesreal-time video mosaickingscanning microscopy

Identifiers

PMID32246558
PMCPMC7969124
OpenAlexW3014642321

What OpenQuestion holds

Textmetadata
LicenceTDM
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.