Evidence map›Paper›PMID 26819824›Full record

ArticleBiomedical optics express2016

Label-free multi-photon imaging of dysplasia in Barrett's esophagus.

Soroush Mehravar, Bhaskar Banerjee, Hemant Chatrath, Babak Amirsolaimani, Krunal Patel, Charmi Patel, Robert A Norwood, Nasser Peyghambarian, Khanh Kieu

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Soroush MehravarCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA.
Bhaskar BanerjeeCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA; College of Medicine, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ 85724, USA; Department of Biomedical Engineering, University of Arizona, 1127 E. James E. Rogers Way, Tucson, AZ 85721, USA.
Hemant ChatrathCollege of Medicine, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ 85724, USA.
Babak AmirsolaimaniCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA.
Krunal PatelCollege of Medicine, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ 85724, USA.
Charmi PatelCollege of Medicine, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ 85724, USA.
Robert A NorwoodCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA.
Nasser PeyghambarianCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA.
Khanh KieuCollege of Optical Sciences, University of Arizona,1630 E. University Blvd., Tucson, AZ 85721, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barrett's esophagus (BE) is a metaplastic disorder where dysplastic and early cancerous changes are invisible to the naked eye and where the practice of blind biopsy is hampered by large sampling errors. Multi-photon microscopy (MPM) has emerged as an alternative solution for fast and label-free diagnostic capability for identifying the histological features with sub-micron accuracy. We developed a compact, inexpensive MPM system by using a handheld mode-locked fiber laser operating at 1560nm to study mucosal biopsies of BE. The combination of back-scattered THG, back-reflected forward THG and SHG signals generate images of cell nuclei and collagen, leading to label-free diagnosis in Barrett's.

Indexed as

(020.4180) Multiphoton processes(180.4315) Nonlinear microscopy(180.5810) Scanning microscopy(320.7090) Ultrafast lasers

Identifiers

PMID26819824
PMCPMC4722899

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.