Evidence map›Paper›PMID 34618094›Full record

ArticlePlant physiology2022

X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs.

Keith E Duncan, Kirk J Czymmek, Ni Jiang, August C Thies, Christopher N Topp

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 83 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

5 authors at 1 institution in 1 country.

Keith E DuncanDonald Danforth Plant Science Center, St Louis, Missouri 63132, USA.ORCID 0000-0002-0833-190X
Kirk J CzymmekDonald Danforth Plant Science Center, St Louis, Missouri 63132, USA.ORCID 0000-0002-5471-7395
Ni JiangDonald Danforth Plant Science Center, St Louis, Missouri 63132, USA.ORCID 0000-0001-7997-7655
Christopher N ToppDonald Danforth Plant Science Center, St Louis, Missouri 63132, USA.ORCID 0000-0001-9228-6752
Donald Danforth Plant Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capturing complete internal anatomies of plant organs and tissues within their relevant morphological context remains a key challenge in plant science. While plant growth and development are inherently multiscale, conventional light, fluorescence, and electron microscopy platforms are typically limited to imaging of plant microstructure from small flat samples that lack a direct spatial context to, and represent only a small portion of, the relevant plant macrostructures. We demonstrate technical advances with a lab-based X-ray microscope (XRM) that bridge the imaging gap by providing multiscale high-resolution three-dimensional (3D) volumes of intact plant samples from the cell to the whole plant level. Serial imaging of a single sample is shown to provide sub-micron 3D volumes co-registered with lower magnification scans for explicit contextual reference. High-quality 3D volume data from our enhanced methods facilitate sophisticated and effective computational segmentation. Advances in sample preparation make multimodal correlative imaging workflows possible, where a single resin-embedded plant sample is scanned via XRM to generate a 3D cell-level map, and then used to identify and zoom in on sub-cellular regions of interest for high-resolution scanning electron microscopy. In total, we present the methodologies for use of XRM in the multiscale and multimodal analysis of 3D plant features using numerous economically and scientifically important plant systems.

Indexed as

X-RaysImaging, Three-DimensionalMicroscopy, Electron, ScanningPlant CellsPlants

Identifiers

PMID34618094
PMCPMC8825331
OpenAlexW3203879600

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.