Evidence map›Paper›PMID 40172758›Full record

ReviewApplied microscopy2025

Specimen preparation for X-ray micro-computed tomography of forest pests.

Eun Jung Ahn, Ki Woo Kim

Abstract readReview
In one paragraph

Review in Applied microscopy, 2025. 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

2 authors.

Eun Jung AhnDepartment of Ecology and Environmental System, Kyungpook National University, Sangju, 37224, Republic of Korea.
Ki Woo KimDepartment of Ecology and Environmental System, Kyungpook National University, Sangju, 37224, Republic of Korea. kiwoo@knu.ac.kr.ORCID http://orcid.org/0000-0002-7010-0336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray micro-computed tomography (XCT) is an X-ray-based three-dimensional (3D) imaging technique that enables non-destructive imaging of both external and internal structures. It is widely used for studying biological specimens such as animals and plants. In this review, we discuss various specimen preparation methods for the technique, particularly focusing on forest pests, with six representative cases. Specimen preparation methods for forest pests can be broadly categorized into three groups based on mounting types: (i) simple mounting, (ii) liquid-cell mounting, and (iii) dry-cell mounting. The simple mounting method is particularly suitable for adult beetles due to their exoskeleton. The dehydration process minimizes specimen movement during scanning, ensuring better imaging quality. In the case of liquid-cell mounting, the specimen is immersed in a liquid medium for scanning, which effectively preserves the soft tissues of larvae and pupae. The dry-cell mounting does not involve fixation or dehydration and is particularly useful for analyzing immobilized specimens. To enhance the quality of 3D images, selecting an appropriate preparation method is essential. Since forest pests display varying sizes and types, the choice of preparation method should be based on the specific characteristics of the specimens of interest and research objectives. This review provides valuable insights for researchers and practitioners seeking to identify the most suitable and effective mounting method for XCT scanning of forest pests.

Indexed as

3D imagingForest pestInsectSpecimen preparation

Identifiers

PMID40172758
PMCPMC11965078

What OpenQuestion holds

Textmetadata
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.