Evidence map›Paper›PMID 32206423›Full record

ArticleBiomedical optics express2020

Toward whole-brain

Pavel Subochev, Ekaterina Smolina, Ekaterina Sergeeva, Mikhail Kirillin, Anna Orlova, Daria Kurakina, Daniil Emyanov, Daniel Razansky

Abstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Pavel SubochevInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Ekaterina SmolinaInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Ekaterina SergeevaInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Mikhail KirillinInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.ORCID https://orcid.org/0000-0002-6804-6369
Anna OrlovaInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Daria KurakinaInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Daniil EmyanovInstitute of Applied Physics RAS, 46 Ulyanov Street, Nizhniy Novgorod, Russia.
Daniel RazanskyFaculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrovascular imaging of rodents is one of the trending applications of optoacoustics aimed at studying brain activity and pathology. Imaging of deep brain structures is often hindered by sub-optimal arrangement of the light delivery and acoustic detection systems. In our work we revisit the physics behind opto-acoustic signal generation for theoretical evaluation of optimal laser wavelengths to perform cerebrovascular optoacoustic angiography of rodents beyond the penetration barriers imposed by light diffusion in highly scattering and absorbing brain tissues. A comprehensive model based on diffusion approximation was developed to simulate optoacoustic signal generation using optical and acoustic parameters closely mimicking a typical murine brain. The model revealed three characteristic wavelength ranges in the visible and near-infrared spectra optimally suited for imaging cerebral vasculature of different size and depth. The theoretical conclusions are confirmed by numerical simulations while in vivo imaging experiments further validated the ability to accurately resolve brain vasculature at depths ranging between 0.7 and 7 mm.

Identifiers

PMID32206423
PMCPMC7075595

What OpenQuestion holds

Textmetadata
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.