Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Karyotyping

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...

The Spindle Assembly Checkpoint

The Spindle Assembly Checkpoint

The spindle assembly checkpoint is a molecular surveillance mechanism ensuring the fidelity of chromosome segregation during anaphase. The checkpoint monitors the completion of all the prerequisite steps before chromosome segregation to determine whether the segregation process should proceed or be delayed.
Many proteins function together to control the spindle assembly checkpoint. Mutations affecting these proteins may allow cells to proceed into anaphase prematurely, resulting in the...

Attachment of Sister Chromatids

Attachment of Sister Chromatids

As cells progress into mitosis, the nuclear envelope breaks down, and the condensed chromosomes are exposed to the array of bipolar microtubules of the mitotic spindle. The kinetochore, a large, disc-shaped protein complex, is present at the centromere region of the sister chromatids and acts as a binding site for the microtubules. Usually, the plus-end of a single microtubule is embedded within the kinetochore. However, some kinetochores first establish lateral contact with the side-wall of a...

Wilcoxon Signed-Ranks Test for Matched Pairs

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data.

Frontiers in robotics and AI·2021

Same author

Risk of Collapse in Water Quality in the Guandu River (Rio de Janeiro, Brazil).

Microbial ecology·2021

Same author

Radiological Scouting, Monitoring and Inspection Using Drones.

Sensors (Basel, Switzerland)·2021

Same author

Break the Ice: a Survey on Socially Aware Engagement for Human-Robot First Encounters.

International journal of social robotics·2021

Same author

Treatment of early-stage mycosis fungoides: results from the PROspective Cutaneous Lymphoma International Prognostic Index (PROCLIPI) study.

The British journal of dermatology·2020

Same author

Performance Analysis of Geiger-Müller and Cadmium Zinc Telluride Sensors Envisaging Airborne Radiological Monitoring in NORM Sites.

Sensors (Basel, Switzerland)·2020

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

Classifier-assisted metric for chromosome pairing.

Rodrigo Ventura¹, Artem Khmelinskii, J Sanches

¹Institute for Systems and Robotics at the Instituto Superior Técnico, Lisbon Portugal. aihmel@gmail.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This summary is machine-generated.

This study presents an automated method for chromosome pairing in karyograms, achieving over 92% accuracy. This technique aids in diagnosing genetic diseases by improving chromosomal abnormality detection.

More Related Videos

Preparation of Meiotic Chromosome Spreads from Mouse Oocytes for Assessment of Synapsis and Recombination

Preparation of Meiotic Chromosome Spreads from Mouse Oocytes for Assessment of Synapsis and Recombination

Published on: July 18, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Related Experiment Videos

Last Updated: Jun 6, 2026

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

Preparation of Meiotic Chromosome Spreads from Mouse Oocytes for Assessment of Synapsis and Recombination

Preparation of Meiotic Chromosome Spreads from Mouse Oocytes for Assessment of Synapsis and Recombination

Published on: July 18, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Area of Science:

Cytogenetics
Medical Imaging
Computational Biology

Background:

Cytogenetics is crucial for identifying chromosomal abnormalities and diagnosing genetic diseases.
A karyogram visually organizes human chromosomes for analysis.
Accurate chromosome pairing is essential for reliable karyogram construction.

Purpose of the Study:

To develop an automated algorithm for pairing chromosomes into a karyogram.
To improve the efficiency and accuracy of karyogram generation.
To assist in the diagnosis of genetic disorders through enhanced cytogenetic analysis.

Main Methods:

A novel approach combining Support Vector Machine (SVM) classification with similarity metrics.
Utilizing geometric and band pattern features extracted from chromosome images.
Employing a Bayesian framework and solving a mixed integer program for chromosome pairing.

Main Results:

The algorithm achieved average pairing rates above 92% on two diverse datasets.
Demonstrated significant improvements compared to previous automated methods.
Performance closely approached that of human operators in chromosome pairing.

Conclusions:

The proposed automated method effectively pairs chromosomes for karyogram construction.
This approach offers a reliable tool for cytogenetic analysis and genetic disease diagnosis.
The algorithm shows potential to enhance diagnostic workflows in clinical settings.