Evidence map›Paper›PMID 38106532›Full record

ArticleApplications in plant sciences

Improved image processing for 3D virtual object construction from serial sections reveals tissue patterns in root tips of

Yasushi Miki, Susumu Saito, Teruo Niki, Daniel K Gladish

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Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yasushi MikiImage Processing Section MikiOn LLC, 103 Ishikawa Heights, 1737 Hazama-machi, Hachioji Tokyo 193-0941 Japan.
Susumu SaitoImage Processing Section MikiOn LLC, 103 Ishikawa Heights, 1737 Hazama-machi, Hachioji Tokyo 193-0941 Japan.
Teruo NikiImage Processing Section MikiOn LLC, 103 Ishikawa Heights, 1737 Hazama-machi, Hachioji Tokyo 193-0941 Japan.
Daniel K GladishDepartment of Biology Miami University 1601 University Blvd. Hamilton Ohio 45011 USA.ORCID 0000-0001-5721-7532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Previously we described methods for generating three-dimensional (3D) virtual reconstructions of plant tissues from transverse thin sections. Here, we report the applicability of longitudinal sections and improved image-processing steps that are simpler to perform and utilize free applications. Methods: In order to obtain improved digital images and a virtual 3D object (cuboid), GIMP 2.10 and ImageJ 2.3.0 running on a laptop computer were used. Sectional views of the cuboid and 3D visualization were realized with use of the plug-ins "Volume Viewer" and "3D Viewer" in ImageJ. Results: A 3D object was constructed and sectional views along several cutting planes were generated. The 3D object consisted of selected tissues inside the cuboid that were extracted and visualized from the original section data, and an animated video of the 3D construct was also produced. Discussion: Virtual cuboids can be constructed by stacking longitudinal images along the transverse depth direction or stacking transverse images vertically along the organ axis, with both generating similar 3D objects. Which to use depends on the purpose of the investigation: if the vertical cell structures need close examination, the former method may be better, but for more general spatial evaluations or for evaluation of organs over longer tissue distances than can be accommodated with longitudinal sectioning, the latter method should be chosen.

Indexed as

3D constructioncell outline extractionimage alignmentserial sectionsZea mays

Identifiers

PMID38106532
PMCPMC10719874

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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.