Evidence map›Paper›PMID 35214839›Full record

ArticlePlants (Basel, Switzerland)2022

Flip-Flap: A Simple Dual-View Imaging Method for 3D Reconstruction of Thick Plant Samples.

Leo Serra, Sovanna Tan, Sarah Robinson, Jane A Langdale

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Leo SerraThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, UK.
Sovanna TanDepartment of Plant Sciences, University of Oxford, South Parks Rd., Oxford OX1 3RB, UK.ORCID 0000-0002-7647-9914
Sarah RobinsonThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, UK.
Jane A LangdaleDepartment of Plant Sciences, University of Oxford, South Parks Rd., Oxford OX1 3RB, UK.

Funding

Bill & Melinda Gates Foundation INV-002970Gatsby Charitable Foundation GAT3395/CDERoyal Society URF\R1\180196
6 · The paper itself

Abstract

Plant development is a complex process that relies on molecular and cellular events being co-ordinated in space and time. Microscopy is one of the most powerful tools available to investigate this spatiotemporal complexity. One step towards a better understanding of complexity in plants would be the acquisition of 3D images of entire organs. However, 3D imaging of intact plant samples is not always simple and often requires expensive and/or non-trivial approaches. In particular, the inner tissues of thick samples are challenging to image. Here, we present the Flip-Flap method, a simple imaging protocol to produce 3D images of cleared plant samples at the organ scale. This method allows full 3D reconstruction of plant organs suitable for 3D segmentation and further related analysis and can be easily handled by relatively inexperienced microscopists.

Indexed as

barleyMarchantiamultiview imagingplant 3D imagingrice

Identifiers

PMID35214839
PMCPMC8875395

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.