Evidence map›Paper›PMID 37609162›Full record

ArticlebioRxiv : the preprint server for biology2023

Mesoscopic Oblique Plane Microscopy via Light-sheet Mirroring.

Stephan Daetwyler, Bo-Jui Chang, Bingying Chen, Felix Zhou, Reto Fiolka

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Stephan DaetwylerLyda Hill Department for Bioinformatics, UT Southwestern Medical Center, 6000 Harry Hines BLVD, Dallas, TX 75390, USA.
Bo-Jui ChangLyda Hill Department for Bioinformatics, UT Southwestern Medical Center, 6000 Harry Hines BLVD, Dallas, TX 75390, USA.
Bingying ChenLyda Hill Department for Bioinformatics, UT Southwestern Medical Center, 6000 Harry Hines BLVD, Dallas, TX 75390, USA.
Felix ZhouLyda Hill Department for Bioinformatics, UT Southwestern Medical Center, 6000 Harry Hines BLVD, Dallas, TX 75390, USA.
Reto FiolkaLyda Hill Department for Bioinformatics, UT Southwestern Medical Center, 6000 Harry Hines BLVD, Dallas, TX 75390, USA.
Southwestern Medical Center · US

Funding

Technical Development Unit 2: Intelligent Hyperspectral Imaging of Subcellular Molecular States at the Whole Organ LevelU54CA268072 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Reto Paul Fiolka · 2021 to 2026
$9.1M
Transformative microscopes to image across spatiotemporal scalesR35GM133522 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Reto Paul Fiolka · 2019 to 2026
$3.1M
NCI NIH HHS U54 CA268072NIGMS NIH HHS R35 GM133522
6 · The paper itself

Abstract

Understanding the intricate interplay and inter-connectivity of biological processes across an entire organism is important in various fields of biology, including cardiovascular research, neuroscience, and developmental biology. Here, we present a mesoscopic oblique plane microscope (OPM) that enables whole organism imaging with high speed and subcellular resolution. A microprism underneath the sample enhances the axial resolution and optical sectioning through total internal reflection of the light-sheet. Through rapid refocusing of the light-sheet, the imaging depth is extended up to threefold while keeping the axial resolution constant. Using low magnification objectives with a large field of view, we realize mesoscopic imaging over a volume of 3.7×1.5×1 mm

Identifiers

PMID37609162
PMCPMC10441428
OpenAlexW4385783319

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.