Evidence map›Paper›PMID 33211727›Full record

ArticlePloS one2020

Quantifying myelin content in brain tissue using color Spatial Light Interference Microscopy (cSLIM).

Michael Fanous, Megan P Caputo, Young Jae Lee, Laurie A Rund, Catherine Best-Popescu, Mikhail E Kandel, Rodney W Johnson, Tapas Das, Matthew J Kuchan, Gabriel Popescu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 16 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

10 authors at 2 institutions in 1 country.

Michael FanousQuantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0002-8266-274X
Megan P CaputoDivision of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0002-7061-0360
Young Jae LeeQuantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0003-2221-0853
Laurie A RundLaboratory of Integrative Immunology & Behavior, Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Catherine Best-PopescuNeuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Mikhail E KandelQuantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Rodney W JohnsonDivision of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Tapas DasAbbott Nutrition, Discovery Research, Columbus, OH, United States of America.
Matthew J KuchanAbbott Nutrition, Strategic Research, Columbus, OH, United States of America.
Gabriel PopescuQuantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
University of Illinois Urbana-Champaign · USAbbott (United States) · US

Funding

Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissuesR01CA238191 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, ELICEIRI, KEVIN WILLIAM · 2019 to 2023
$3.1M
High accuracy optical growth assay of 3D cellular systemsR01GM129709 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID · 2019 to 2022
$2.1M
6 · The paper itself

Abstract

Deficient myelination of the brain is associated with neurodevelopmental delays, particularly in high-risk infants, such as those born small in relation to their gestational age (SGA). New methods are needed to further study this condition. Here, we employ Color Spatial Light Interference Microscopy (cSLIM), which uses a brightfield objective and RGB camera to generate pathlength-maps with nanoscale sensitivity in conjunction with a regular brightfield image. Using tissue sections stained with Luxol Fast Blue, the myelin structures were segmented from a brightfield image. Using a binary mask, those portions were quantitatively analyzed in the corresponding phase maps. We first used the CLARITY method to remove tissue lipids and validate the sensitivity of cSLIM to lipid content. We then applied cSLIM to brain histology slices. These specimens are from a previous MRI study, which demonstrated that appropriate for gestational age (AGA) piglets have increased internal capsule myelination (ICM) compared to small for gestational age (SGA) piglets and that a hydrolyzed fat diet improved ICM in both. The identity of samples was blinded until after statistical analyses.

Indexed as

AnimalsAnimals, NewbornBrainFemaleGestational AgeMaleMicroscopy, InterferenceMyelin SheathSwine

Identifiers

PMID33211727
PMCPMC7676665
OpenAlexW3008063097

What OpenQuestion holds

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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.