Evidence map›Paper›PMID 35036571›Full record

ArticleBiology methods & protocols2022

Desktop scanning electron microscopy in plant-insect interactions research: a fast and effective way to capture electron micrographs with minimal sample preparation.

Sakshi Watts, Ishveen Kaur, Sukhman Singh, Bianca Jimenez, Jesus Chavana, Rupesh Kariyat

Open access · goldAbstract read
In one paragraph

Article in Biology methods & protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 14 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

6 authors at 1 institution in 1 country.

Sakshi WattsDepartment of Biology, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
Ishveen KaurSchool of Earth, Environment and Marine Sciences, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
Sukhman SinghDepartment of Biology, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
Bianca JimenezDepartment of Biology, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
Jesus ChavanaDepartment of Biology, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
Rupesh KariyatDepartment of Biology, The University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX 78539, USA.
The University of Texas Rio Grande Valley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to visualize cell and tissue morphology at a high magnification using scanning electron microscopy (SEM) has revolutionized plant sciences research. In plant-insect interactions studies, SEM-based imaging has been of immense assistance to understand plant surface morphology including trichomes [plant hairs; physical defense structures against herbivores], spines, waxes, and insect morphological characteristics such as mouth parts, antennae, and legs, that they interact with. While SEM provides finer details of samples, and the imaging process is simpler now with advanced image acquisition and processing, sample preparation methodology has lagged. The need to undergo elaborate sample preparation with cryogenic freezing, multiple alcohol washes, and sputter coating makes SEM imaging expensive, time consuming, and warrants skilled professionals, making it inaccessible to majority of scientists. Here, using a desktop version of SEM (SNE- 4500 Plus Tabletop), we show that the "plug and play" method can efficiently produce SEM images with sufficient details for most morphological studies in plant-insect interactions. We used leaf trichomes of

Indexed as

ecologyinsect-plant interactionsmicroscopy

Identifiers

PMID35036571
PMCPMC8754489
OpenAlexW3207857354

What OpenQuestion holds

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LicenceCC BY-NC
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.