Evidence map›Paper›PMID 27833147›Full record

ArticleScientific reports2016

Dual-wavelength pump-probe microscopy analysis of melanin composition.

Andrew Thompson, Francisco E Robles, Jesse W Wilson, Sanghamitra Deb, Robert Calderbank, Warren S Warren

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 20 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

6 authors at 1 institution in 1 country.

Andrew ThompsonDepartment of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA.
Francisco E RoblesDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Jesse W WilsonDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Sanghamitra DebDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Robert CalderbankDepartment of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA.
Warren S WarrenDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Duke University · US

Funding

Improving Melanoma Diagnosis with Pump-Probe Optical ImagingR01CA166555 · NCI · DUKE UNIVERSITY · PI WARREN, WARREN S · 2013 to 2017
$1.6M
Multi-modality optical molecular imaging for melanoma tumor margin assessmentF32CA183204 · NCI · DUKE UNIVERSITY · PI ROBLES, FRANCISCO E · 2014 to 2016
$131k
Novel Techniques in Nonlinear Optical Microscopy for Improving Melanoma DiagnosisF32CA168497 · NCI · DUKE UNIVERSITY · PI WILSON, JESSE WILLIAM · 2013 to 2015
$129k
NCI NIH HHS F32 CA168497NCI NIH HHS F32 CA183204NCI NIH HHS R01 CA166555
6 · The paper itself

Abstract

Pump-probe microscopy is an emerging technique that provides detailed chemical information of absorbers with sub-micrometer spatial resolution. Recent work has shown that the pump-probe signals from melanin in human skin cancers correlate well with clinical concern, but it has been difficult to infer the molecular origins of these differences. Here we develop a mathematical framework to describe the pump-probe dynamics of melanin in human pigmented tissue samples, which treats the ensemble of individual chromophores that make up melanin as Gaussian absorbers with bandwidth related via Frenkel excitons. Thus, observed signals result from an interplay between the spectral bandwidths of the individual underlying chromophores and spectral proximity of the pump and probe wavelengths. The model is tested using a dual-wavelength pump-probe approach and a novel signal processing method based on gnomonic projections. Results show signals can be described by a single linear transition path with different rates of progress for different individual pump-probe wavelength pairs. Moreover, the combined dual-wavelength data shows a nonlinear transition that supports our mathematical framework and the excitonic model to describe the optical properties of melanin. The novel gnomonic projection analysis can also be an attractive generic tool for analyzing mixing paths in biomolecular and analytical chemistry.

Indexed as

AlgorithmsHumansMelaninsMelanomaMicroscopy, ConfocalNevus, BlueSkinSkin NeoplasmsMelanins

Identifiers

PMID27833147
PMCPMC5104978
OpenAlexW2554052819

What OpenQuestion holds

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LicenceCC BY
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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.