Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Crossing Over01:30

Crossing Over

Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I, duplicated...
Crossing Over01:34

Crossing Over

Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process called synapsis.
In order to...
Base-pairing and DNA Repair02:27

Base-pairing and DNA Repair

Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
DNA Base Pairing02:27

DNA Base Pairing

Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
DNA Base Pairing02:27

DNA Base Pairing

Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
Chromosomal Theory of Inheritance01:39

Chromosomal Theory of Inheritance

In 1866, Gregor Mendel published the results of his pea plant breeding experiments, providing evidence for predictable patterns in the inheritance of physical characteristics. The significance of his findings was not immediately recognized. In fact, the existence of genes was unknown at the time. Mendel referred to hereditary units as “factors.”

You might also read

Related Articles

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

Sort by
Same author

From Pixels to Patterns: A Multidimensional Framework to Decode Cytoskeletal Organization.

Computational and structural biotechnology journal·2026
Same author

Real time automatic risk prediction in ICU patients treated with ECMO.

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

Camera-based Photoplethysmography (cbPPG) using smartphone rear and frontal cameras: an experimental study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
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

e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19.

Sensors (Basel, Switzerland)·2021
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

Related Experiment Video

Updated: Jun 26, 2026

Associated Chromosome Trap for Identifying Long-range DNA Interactions
14:49

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

Automatic chromosome pairing using mutual information.

Artem Khmelinskii1, Rodrigo Ventura, João Sanches

  • 1Institute for Systems and Robotics / Instituto Superior Técnico, 1049-001 Lisbon, Portugal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for automatically pairing homologous chromosomes, a crucial step in cytogenetics. The method utilizes Mutual Information and a supervised classifier, achieving relevant results even with low-quality images.

More Related Videos

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Related Experiment Videos

Last Updated: Jun 26, 2026

Associated Chromosome Trap for Identifying Long-range DNA Interactions
14:49

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Area of Science:

  • Cytogenetics
  • Medical Imaging
  • Computational Biology

Background:

  • Cytogenetics is vital for diagnosing genetic diseases like leukemia by detecting chromosomal abnormalities.
  • Karyotyping involves manually pairing 46 chromosomes based on size, morphology, and texture, a process that is time-consuming and technically demanding.
  • Automatic homologous chromosome pairing remains an unsolved challenge in computational cytogenetics.

Purpose of the Study:

  • To develop a novel strategy for automatic homologous chromosome pairing.
  • To improve the efficiency and accuracy of karyotyping procedures.
  • To address the limitations of manual chromosome analysis.

Main Methods:

  • A new algorithm for automatic homologous chromosome pairing was proposed.
  • Mutual Information (MI) was employed to differentiate chromosome textural features.
  • A supervised non-linear classifier was trained using expert technician classifications and combined features.

Main Results:

  • The algorithm demonstrated promising and relevant results in pairing homologous chromosomes.
  • Performance was validated using 836 real chromosome images with a leave-one-out cross-validation approach.
  • The method showed effectiveness despite the poor quality of the original chromosome images, outperforming existing state-of-the-art algorithms.

Conclusions:

  • The proposed automatic pairing strategy offers a significant advancement in cytogenetic analysis.
  • The integration of Mutual Information enhances the discrimination of chromosome features.
  • This algorithm provides a viable solution for automated karyotyping, even with challenging image data.