Evidence map›Paper›PMID 33587223›Full record

ReviewChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2021

Imaging approaches for chromosome structures.

Kiichi Fukui, Seiji Kato

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2021. 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. Lampbrush chromosomes of Danio rerio.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2025
    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.

Kiichi FukuiGraduate School of Pharmaceutical Sciences, Osaka University, Yamada-oka, Suita, Osaka, 565-0871, Japan. kfukui@bio.eng.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-9156-819X
Seiji KatoKobe Active Aging Research Hub (KAARb), Graduate School of Human Development and Environment, Kobe University, Tsurukabuto, Kobe, 657-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review describes image analyses for chromosome visible structures, focusing on the chromosome imaging system CHIAS (Chromosome Image Analyzing System). CHIAS is the first comprehensive imaging system for the analysis and characterization of plant chromosomes. A simulation method for human vision for capturing band positive regions was developed and used for the image analysis of large plant chromosomes with bands. Applying this method to C-banded Crepis chromosomes enabled recognition of band positive regions as seen by human vision. Furthermore, a new image parameter, condensation pattern was developed and successfully applied to identify small plant chromosomes such as rice and brassicas. Condensation profile (CP) derived from condensation pattern was also effective in developing quantitative chromosome maps. The result was quantitative chromosomal maps of several plants with small chromosomes, including Arabidopsis, diploid brassicas, rapeseed, rice, spinach, and sugarcane. In the final chapter, various applications of imaging techniques to the analysis of pachytene chromosomes, improved visibility of multicolor FISH images, 3D reconstruction of a human chromosome based on cross-section images obtained by a FIB/SEM, automatic extraction of chromosomal regions by machine learning, etc. are described.

Indexed as

Chromosomes, PlantOryzaChromosome StructuresHumansCHIAS (Chromosome Image Analyzing System)Condensation patternCP (Condensation profile)ImageJMachine learningQuantitative chromosome map

Identifiers

What OpenQuestion holds

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Registered trials

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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.