Evidence map›Paper›PMID 28663864›Full record

ArticleBiomedical optics express2017

Measurement of multispectral scattering properties in mouse brain tissue.

Eunjung Min, Sungbea Ban, Yanyan Wang, Sung Chul Bae, Gabriel Popescu, Catherine Best-Popescu, Woonggyu Jung

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. 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.

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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.

Eunjung MinDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Sungbea BanDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Yanyan WangDepartment of Pharmacology and Beckman Institute, University of Illinois at Urbana-Champaign (UIUC), Urbana, IL 61801, USA.
Sung Chul BaeDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Gabriel PopescuQuantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Catherine Best-PopescuCellular Neuroscience and Imaging Laboratory, Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Woonggyu JungDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the scattering properties of mouse brain using multispectral diffraction phase microscopy. Typical diffraction phase microscopy was incorporated with the broadband light source which offers the measurement of the scattering coefficient and anisotropy in the spectral range of 550-900 nm. The regional analysis was performed for both the myeloarchitecture and cytoarchitecture of the brain tissue. Our results clearly evaluate the multispectral scattering properties in the olfactory bulb and corpus callosum. The scattering coefficient measured in the corpus callosum is about four times higher than in the olfactory bulb. It also indicates that it is feasible to realize the quantitative phase microscope in near infrared region for thick brain tissue imaging.

Indexed as

(110.3080) Infrared imaging(120.5050) Phase measurement(160.4760) Optical properties(180.3170) Interference microscopy(290.5820) Scattering measurements

Identifiers

PMID28663864
PMCPMC5480579

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.