Evidence map›Paper›PMID 30499949›Full record

ArticleOptics letters2018

Sub-10-nm imaging of nucleic acids using spectroscopic intrinsic-contrast photon-localization optical nanoscopy (SICLON).

Adam Eshein, Yue Li, Biqin Dong, Luay M Almassalha, John E Chandler, The-Quyen Nguyen, Karl A Hujsak, Vinayak P Dravid, Cheng Sun, Hao F Zhang and 1 more

Abstract read
In one paragraph

Article in Optics letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Adam Eshein
Yue Li
Biqin Dong
Luay M Almassalha
John E Chandler
The-Quyen Nguyen
Karl A Hujsak
Vinayak P Dravid
Cheng Sun
Hao F Zhang
Vadim Backman

Funding

Spatio-Temporal Organization of Chromatin and Information Transfer in CancerU54CA193419 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MARKO, JOHN F · 2015 to 2020
$10.4M
Reducing Cancer Transcriptional Heterogeneity through Regulation of Chromatin StructureR01CA228272 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM, ROY, HEMANT K. · 2018 to 2022
$3.2M
Risk-stratification of Prostate Cancers via Field Carcinogenesis NanocytologyR01CA200064 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM, CRAWFORD, SUSAN E. · 2015 to 2019
$3.1M
In-vivo characterization of pancreatic field carcinogenesis using spatially resolved reflectance measurements via a fiber optic probeF31EB022414 · NIBIB · NORTHWESTERN UNIVERSITY · PI ESHEIN, ADAM · 2016 to 2017
$76k
NCI NIH HHS R01 CA200064NCI NIH HHS R01 CA228272NCI NIH HHS U54 CA193419NIBIB NIH HHS F31 EB022414
6 · The paper itself

Abstract

Elucidating chromatin structure in vitro requires resolution below 10 nm to visualize the mononucleosome has been an ongoing challenge. In this work, we achieve sub-10-nm imaging of nucleic acids via spectroscopic intrinsic-contrast photon-localization optical nanoscopy (SICLON) without the use of external labels. SICLON leverages two key innovations: using endogenous nucleotides as the emission source and a custom-made imaging system that can simultaneously record the position and optical spectra of emitting molecules. With a novel spectral regression algorithm that identifies the spectroscopic fingerprints of neighboring molecules that were previously indistinguishable, we demonstrate the utility of SICLON by visualizing unlabeled poly-nucleotides and linear single-stranded DNA fibers with a resolution of 6.2 nm.

Indexed as

Optical DevicesPhotonsDNAImage Processing, Computer-AssistedNanotechnologyOptical ImagingSpectrum AnalysisDNA

Identifiers

PMID30499949
PMCPMC6375679

What OpenQuestion holds

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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.